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Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Pricing and Derived Data team within UP is seeking an outstanding Senior Software Engineer to join us in building a new data platform that provides intra-day and end-of-day prices across the firm. The team is responsible for pricing millions of instruments across many asset classes and exchanges in near-real-time. Clients range from trading systems needing low-latency updates to researchers working with large historical datasets. Our current architecture is written mostly in Elixir, which we enjoy and derive great value from. Inter-service streaming communication is over gRPC and the data layer comprises PostgreSQL, Kafka, and ClickHouse. Demand for our services is growing rapidly across a variety of access patterns, and we are now building a comprehensive data platform as an extension of our existing system to meet this demand. This position presents an opportunity to shape the future direction of our work. The successful candidate will play a key role in answering questions such as: How do we guarantee that a client sees the same prices whether they query the warehouse, subscribe to a stream, or call our gRPC API? How do we let clients load a snapshot and then switch to live updates with no gaps or duplicates? What parts of our systems should stay in Elixir, and where should we consider other technologies? Experience We are looking for strong senior generalists who have a considerable experience building data products. Candidates should be able to provide examples of significant projects that they have led from design through to operating in production, including responsibility for architectural decisions. We are interested in hearing from candidates who have had to choose between technologies and can talk to us about why they would or would not make that choice again. Relevant areas include event streaming, change data capture, open table formats and stream and batch processing. Associated technologies include Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink. We are interested in a deep understanding of the architectural requirements that these technologies are suitable for rather than years of experience in a specific one of them. Prior experience in Elixir or in the financial domain is not required, but candidates should be interested in working in these areas. Examples of projects you may have led include: Designing and building a high-volume and/or low-latency data processing system, including ingestion, storage, and distribution. Scaling an ingestion pipeline handling thousands, or tens of thousands of events per second on a single node (optimisation) and/or across multiple nodes (distribution). The operation and support of a data product which has time- and correctness-sensitive delivery requirements. Personal traits We value: Humility and respect for others, and trust in our teammates. The ability to learn, adapt and grow. The capacity to independently drive projects to completion, but a preference to collaborate with teammates. Excellent listening and communication skills The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SH1

Location: GE; PL Workplace: remote Overview: We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company. In this role, you’ll have the opportunity to: Work with modern data stack and AI tools to build complex solutions Design solutions to technical challenges and influence platform architecture Research, develop and integrate new data processing tools and technologies Key responsibilities: Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies Ensure pipeline performance and data quality through scalable architecture and optimization Refine data solutions as business requirements and technical constraints evolve Collaborate with teams to understand data needs and support adoption of data products across the company Required Experience: 5+ years of software engineering experience with expertise in development, deployment, and integration Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake Experience with sourcing and modelling data from application APIs Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others Strong analytical and problem-solving skills Upper-intermediate proficiency in English and strong command of Russian Nice to have: Experience with workflow orchestration tools such as Apache Airflow Experience with Kubernetes and containerization Familiarity with cloud platforms (AWS, GCP, Azure, OCI) Familiarity with CDC and Debezium Familiarity with Clickhouse Familiarity with data quality validation frameworks for data pipelines Familiarity with Data Lineage Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Intellias Meet your recruiter Katarzyna Sankowska katarzyna.sankowska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Principle Python Engineer in Platform Architect team to join a healthcare technology initiative focused on building a modern, scalable platform for connected health data and digital healthcare experiences. This is a senior hands-on engineering role for someone who combines deep distributed-systems expertise, strong backend engineering skills, and architectural thinking . You will design and build platform capabilities used across multiple engineering teams, establish reusable architectural patterns, and help evolve a cloud-native healthcare platform operating at scale. What project we have for you The project is building a FHIR-based healthcare data platform that integrates data from EHRs, digital health applications, wearables, portals, and other healthcare data sources into a unified ecosystem. The platform operates at the intersection of health data interoperability, distributed systems, API platforms, cloud infrastructure, and AI-enabled healthcare experiences . Its architecture includes event-driven processing, federated GraphQL and REST APIs, FHIR services, high-volume data storage and analytics, and integration points for LLM- and agent-based capabilities. You will work horizontally across engineering teams rather than within a single product squad. The focus is on solving complex platform-level problems around scale, reliability, data consistency, interoperability, API governance, and production architecture . This is not an architecture-only position. You will be expected to design, prototype, build, review, and operate production systems , staying close to both the code and real-world system behavior. What you will do Design and build large-scale, event-driven distributed systems , including orchestrators, worker services, asynchronous processing pipelines, schema governance, and reliable consumer patterns. Define and implement platform architecture around Kafka , including topic and partition design, schema evolution, idempotency, consumer groups, retry strategies, and production failure handling. Own and evolve API architecture across REST and federated GraphQL , establishing scalable patterns for schema composition, versioning, contract evolution, and API governance. Design and build reusable platform capabilities that enable engineering teams to onboard new services and data sources with minimal custom implementation. Contribute directly to production code, prototypes, reference implementations, and technical proofs of concept. Partner with AI engineering teams to define reliable integration points for LLM- and agent-based capabilities , including retrieval, evaluation, guardrails, observability, latency, cost, and data-protection boundaries. Shape healthcare data architecture, including FHIR-based interoperability, terminology services, data-quality controls, high-volume storage, and analytical workloads . Drive architecture and technical design reviews, documenting key decisions, trade-offs, standards, and reusable engineering patterns. Use production telemetry, observability, and operational data to validate architectural decisions and troubleshoot complex distributed-system behavior. Establish architectural patterns for security, identity, multi-tenancy, scalability, resilience, and protected health data . Mentor senior engineers and technical leads in system design, distributed-systems engineering, and architectural decision-making. Collaborate closely with U.S.-based engineering, product, data, security, and AI stakeholders while working effectively across geographically distributed teams. Promote an AI-enabled engineering approach , using modern AI development tools where they improve engineering velocity, quality, analysis, documentation, testing, or architectural exploration. What you need for this 8+ years of software engineering experience , with significant experience designing and operating large-scale distributed systems. Strong hands-on backend engineering skills in Python and/or another modern backend language, with the ability to work effectively across a polyglot environment and solid experience building production-grade services and APIs. Proven experience designing event-driven architectures , ideally using Apache Kafka or comparable distributed messaging technologies. Deep understanding of distributed-system fundamentals, including partitioning, idempotency, back-pressure, eventual consistency, failure recovery, and consistency/availability trade-offs. Strong experience designing and evolving REST APIs and GraphQL-based architectures , including schema design, versioning, composition, and contract governance. Strong system-design skills and demonstrated ownership of complex systems from architecture through implementation and production operation. Experience with cloud-native architectures on AWS , including Kubernetes-based environments, observability, scalability, resilience, and production operations. Strong data architecture fundamentals: data modeling, storage strategies, query optimization, and designing systems for high-volume transactional and analytical workloads. Practical experience with modern data and storage technologies such as MongoDB, ClickHouse, Databricks, Spark , or comparable platforms. Understanding of identity and security concepts such as OIDC, OAuth/token exchange, authorization, multi-tenancy, and data isolation . Ability to work effectively across a polyglot technology environment and make architectural decisions based on system requirements rather than technology preference. Strong communication and technical leadership skills, including the ability to drive architecture discussions, technical design reviews, and engineering standards across multiple teams. Strong hands-on engineering mindset — able and willing to build production code, prototypes, reference implementations, and tooling rather than operating exclusively at an architectural level. Professional English sufficient for direct collaboration with U.S.-based engineering and product stakeholders. Experience with FHIR, HL7, EHR integrations, healthcare interoperability, or digital health platforms . Experience designing systems handling PHI/PII or other regulated and sensitive data . Nice to Have Familiarity with healthcare security and compliance requirements, including HIPAA-related architectural considerations. Experience with Java/Spring Boot, TypeScript/Node.js , or other languages used in large-scale backend ecosystems. Experience with federated GraphQL platforms such as WunderGraph Cosmo, Apollo Federation , or similar technologies. Practical experience integrating LLMs or AI agents into production systems , including retrieval, evaluation, guardrails, observability, latency, and cost considerations. Experience with AI-assisted software engineering tools such as Claude Code, GitHub Copilot, Cursor, or similar tools, and an ability to use them effectively throughout the engineering lifecycle. Experience establishing reusable platform patterns, architecture standards, or internal developer platforms used by multiple engineering teams. Previous Staff/Principal-level experience mentoring senior engineers and influencing architecture beyond a single team. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS Kafka Python

Location: EMEA Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across EMEA, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Hands-on Splunk experience - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote within EMEA, in a country where ClickHouse already hires - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: – Разработка и рефакторинг ETL/ELT пайплайнов на pyspark; – Разработка и поддержка OLAP движков Starrocks/Clickhouse; – Поддержка текущих пайплайнов на Greenplum и Hadoop; – Миграция с HDFS на S3; – Оптимизация spark-приложений. Требования: – Опыт работы с Python от 3 лет; – Глубокое знание SQL и опыт работы с большими данными; – Опыт работы с Apache Airflow; – Опыт проектирования и разработки ETL/ELT процессов; – Опыт работы с колоночными БД (ClickHouse); – Знание принципов построения Data Warehouse и Data Lake; – Понимание разницы между OLTP/OLAP системами; – Уверенная работа c linux и git; – Понимание процессов ci/cd.

Location: Remote: United States About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Title: AI Solutions Architect Job Summary: As aAI Solutions Architect, you will lead the design, construction, and deployment of AI solutions that combine the power of graph databases and AI. You will act as a trusted advisor to our strategic customers, guiding them through complex data challenges and delivering transformative business value. You will have a great understanding of graph technologies, LLMs, and AI frameworks, and will be able to translate customer needs into production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs. Key Responsibilities: Solution Architecting: You will engage with technical leaders, stakeholders, and strategic partners to shape and guide the successful implementation of Graph+GenAI solutions, serving as a trusted advisor and thought partner to decision-makers throughout complex, high-impact engagements. You will design and advocate for robust, scalable solution architectures, leading the deployment of Graph+GenAI systems aligned with complex enterprise requirements and industry best practices driving architectural excellence and long-term value. You will collaborate closely with customer leadership to deeply understand their strategic objectives, translating them into high-impact AI solutions that harness the synergy of graph databases and LLMs. This includes leading the discovery of requirements, assessing enterprise data ecosystems, and identifying innovative opportunities to apply graph-based AI at scale. You will lead stakeholder engagement across all levels to steer project scope, align on priorities, mitigate risks, and ensure timely delivery—ensuring alignment between technical execution and business outcomes while maintaining a focus on measurable impact Solution Engineering: You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems. Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge. Education & Enablement: You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Architecture: 5+ years of experience architecting and delivering enterprise-grade applications, with a deep understanding of the full software development lifecycle and the ability to guide teams through complex design and implementation decisions. LLM Proficiency: Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations, as well as open-source ones). Programming Proficiency: Advanced proficiency in at least one major programming language (e.g., Java, JavaScript, Python, or C#), with a proven track record of delivering clean, maintainable, and scalable code within complex systems. Deployment and Version Control: Deep hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments, along with expert-level use of version control systems (e.g., Git, SVN) in enterprise development workflows. Cloud Computing Expertise: Demonstrated expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP), with a strategic understanding of cloud-native architecture and DevOps best practices. Generative AI Ecosystem Knowledge: In-depth knowledge of the generative AI ecosystem, including frameworks (e.g., LangChain, LlamaIndex, Haystack) and familiarity with cloud-native AI platforms (e.g., AWS Bedrock, Google Vertex AI, Azure ML), enabling you to architect end-to-end AI solutions. Data & Analytics Fluency: Strong background in data engineering, analytics, or data science, with the ability to design data pipelines and workflows across structured and unstructured data. Hands-on experience with big data technologies (e.g., Hadoop, Spark, Hive) and database systems (SQL and NoSQL) Graph Database Authority: Deep expertise in graph data modeling and query languages (e.g., Cypher), along with practical experience working with graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog), enabling advanced knowledge graph applications Communication and Collaboration Skills: Exceptional communication and stakeholder engagement skills, with a demonstrated ability to influence cross-functional teams and align technical decisions with business goals. Problem-Solving and Analytical Abilities: Strong analytical mindset with the ability to break down complex problems, architect AI solutions, and mentor teams through implementation Willingness and ability to travel up to 50% to engage with customers, lead strategic discussions and ensure successful project execution. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $160,000 — $220,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines delivering data across DRW. As a Senior Data Engineer in our Unified Platform organization, you will design, build, and operate the data platform and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will own engineering projects and service components, work directly with platform users to solve technical problems, and contribute to metadata management and governance capabilities. This is a hands-on role combining technical design ownership, software development, production support, and mentorship within the broader platform architecture. Key Responsibilities Design, build, and operate managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration. Own technical designs and implementation decisions for services and components within the broader platform architecture, and lead their delivery from requirements through deployment and support. Automate provisioning, configuration, upgrades, and monitoring for managed services, reducing manual operations and improving consistency across deployments. Build and integrate metadata management tools, including data catalogs and lineage tracking, to help users discover datasets and understand their structure, ownership, and dependencies. Implement schema governance, data quality checks, access controls, and usage tracking in line with established policies, working with security and data stakeholders on technical requirements. Work with users of managed services to diagnose integration and performance issues, clarify technical requirements, and improve the services their workloads depend on. Improve the reliability and performance of managed services and shared processing infrastructure through observability, capacity management, and testing. Participate in production support and incident response for these services, resolving root causes and maintaining operational runbooks. Deliver platform upgrades and data migrations with appropriate validation and compatibility checks to protect downstream workloads. Lead design and code reviews for the services you own, document technical trade-offs, and contribute improvements to architectural patterns shared across the team. Mentor less experienced engineers through hands-on collaboration and feedback, promoting maintainable code, automated testing, and sound operational practices. Required Qualifications 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems. Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL, Bash, and Linux environments. Experience building and operating managed data or infrastructure services offered to other teams, including operational automation and production support. Demonstrated ownership of engineering projects or service components from technical design through deployment and ongoing operation. Strong understanding of distributed systems trade-offs, including fault tolerance, concurrency, partitioning, and recovery from partial failures. Production experience with batch and streaming systems, including practical knowledge of state management, retries, replay, and data consistency. Experience with data processing or query technologies such as Flink, Spark, or ClickHouse , and the ability to evaluate their performance and operational trade-offs. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. Familiarity with open table formats such as Iceberg or Delta Lake. Practical experience with data modeling, schema governance and evolution, and data quality controls. Experience integrating metadata management, data cataloging, or lineage capabilities into data systems. Experience with data formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Experience with cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Strong communication and problem-solving skills, with the ability to troubleshoot issues with platform users, collaborate across teams, prioritize competing work, and deliver in a fast-paced trading environment. Desirable Qualifications Experience extending or scaling data catalogs or lineage tracking tools across multiple storage and compute technologies. Experience implementing access controls, usage tracking, or other governance capabilities in shared data environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $160,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Развивать конвейер обработки товаров: получать данные и фотографии, разбирать текстовые задания, анализировать изображения и собирать карточки. Интегрировать языковые и мультимодальные модели, сервисы сегментации и генерации изображений.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We're hiring a Sr. Manager, Global Data Analytics to lead our analytics team and encourage decisions based on data across our commercial sales, operations, and WPN divisions. You'll supervise a team of analysts, lead the analytics roadmap, and serve as the liaison between business partners and the data organization. This is a player-coach role: you’ll lead and develop a global analytics team while staying hands-on in the work. You’ll mentor talent and set the roadmap and processes. You will also dig into the data using SQL and Python scripting to turn complex business problems into clear, actionable answers. You’ll hold a high bar for the integrity of data and deliver analytics initiatives that are accurate, on time, and trusted by senior leaders. What You’ll Do You’ll build and lead a high-performing, globally distributed analytics team that moves fast and asks better questions. In this role, you will: Lead and develop a team of business and data analysts across regions, with coaching, career growth, and clear direction. Own the global analytics roadmap for commercial teams, prioritizing work, managing capacity, and delivering against business goals. Partner with Data Engineering, Platform Engineering, Data Science, and Economics stakeholders to set shared data priorities, standards, and practices that build a stronger data culture across Wizards of the Coast. Build the operating model. Create scalable processes, standards, and documentation that let the team move quickly without sacrificing quality. Partner with senior stakeholders in EMEA, APAC, and North America to turn business needs into analytical frameworks, key metrics, and reporting strategy. Oversee delivery of dashboards, models, and data solutions using Snowflake, dbt, Python, and BI tools (Tableau, Power BI, or Looker). Drive data quality and governance in partnership with data engineering and BI. Embed analytics in decisions by collaborating across product, finance, supply chain, engineering, and marketing. Present insights and recommendations to senior leaders to shape planning, forecasting, and go-to-market execution. Bring innovation by testing new tools, methods, automation, and AI strategy & governance for commercial to keep the team ahead. What You’ll Bring 10+ years in data or business analytics, with 4+ years managing people or leading teams. Hands-on experience supporting business in both EMEA and APAC , with a real understanding of regional market, cultural, and data nuances. Exposure to commercial sales, logistics, and retail analytics . Strong SQL and Python skills, and familiarity with the modern data stack (Snowflake, dbt, ETL workflows). Experience with BI platforms such as Tableau, Power BI, or Looker. Proven record of hiring, developing, and managing analytical talent, ideally across time zones. Track record of building roadmaps and processes from the ground up and delivering in a fast-paced environment. Ability to influence senior stakeholders and align cross-functional teams. Strong grasp of data governance and quality. Excellent communication skills, with the ability to make complex data clear to non-technical audiences. Bachelor’s or Master’s in Analytics, Data Science, Economics, or a related field (or equivalent experience). The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $133,200 — $213,100 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Shepherdsville, KY THE ROLE: Maintenance Technician Location:  Shepherdsville, KY Salary:  $23.50/hr About the Role : This is an entry- level to maintenance position that supports multiple departments by performing routine tasks and assisting with technical tasks related to facility and equipment maintenance. Key Responsibilities: Comply with all applicable codes, regulations, governmental agency and company directives related to building operations and work safety Must be able to obtain certifications to operate order pickers, reach trucks, dock stockers, walkie riders, and various lifts within the fulfillment center and attend continued education to maintain certifications Keep the warehouse cardboard/trash gaylords emptied utilizing the various compactors Unloads corrugate and fanfold from trailers then break down and stage in racks and other appropriate locations Supporting automated machinery by refilling consumable materials and resolving minor technical problems Demonstrate a positive attitude and be willing to assist other departments in a professional and friendly manner Demonstrate a commitment to a culture of safety and loss prevention Learn to assist the maintenance team with corrective and preventive maintenance on building systems as needed which may include plumbing, lighting, electrical, kitchen equipment, commercial doors and locks, dock doors, and HVAC. Learn to assist the maintenance team with corrective and preventive maintenance on operating equipment as needed which may include various types of conveyors, electric motors/gearboxes, automated machinery. Use CMMS software to record information related to parts usage and work order progress. Must be able to work independently with minimal supervision. About You: You are a proactive, safety-minded individual with a strong mechanical curiosity and an eagerness to learn facility and equipment maintenance from the ground up. You take pride in hands-on physical work, stay comfortable on your feet in a fast-paced warehouse environment, and can work confidently both at heights and on mobile equipment. A dependable self-starter, you take initiative on daily tasks with minimal supervision while maintaining clear communication and accurate digital records. Above all, you bring a positive, collaborative attitude, ready to support teammates across departments and help keep our operations running smoothly. Experience and Background Needed : Must be at least 18 years old Must have a high school diploma or equivalent Must provide proof of right to work in the US Regular and reliable attendance Flexible to work shifts Monday – Friday or Tuesday – Saturday, 8-hour days at 5 days / week. Subject to change based on the needs of the business Must be willing to work overtime, may include weekends Must be able to lift up to 50 pounds with or without reasonable accommodation Must be able to stand/walk for up to 8-12 hours Must be willing and able to frequently push, pull, squat, bend, and reach Must be able to continuously climb and descend stairs safely Must be able to work on a secure mezzanine at a height of up to 40 feet Must possess basic computer proficiency Must have strong communication skills and be able to thoroughly document critical information. Successful completion of a post-offer criminal background check Education High School Diploma or equivalent What our team offers Working at RGG is more than just a job; it’s an opportunity to join a mission-driven team that values Innovation and Impact. We are committed to supporting our employees' success and well-being: Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. Time & Flexibility: Paid Time Off (PTO) and remote work option that supports a healthy work-life balance. Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking. Community: Annual paid volunteer opportunities and regular DEI celebrations to foster a strong sense of community and collaboration. Impact: The chance to make a real, measurable impact at a mission-driven, fast-growing company poised for major expansion. We encourage you to apply Even if you don’t meet every single qualification, we’d still love to hear from you. We value passion, curiosity, and a commitment to learning as much as experience. We celebrate diverse perspectives and strive to create an inclusive environment for all our Associates. People First. Delivered in Style. Work Authorization Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future . Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. The above statements are intended to describe the general nature and level of work being performed by the employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: Москва АС "Платформа Кибербезопасности" . В основе решения используются продукты SDP Hadoop и SDP Ozone в качестве BigData хранилищ и обработки данных. В контуре сопровождения несколько высоконагруженных кластеров и более 3000 потоков обработки данных Обязанности * настройка, поддержание работоспособности и развитие промышленных и тестовых сред (Hadoop, Ozone, Kafka, Spark, Flink) * обновление ОС на стендах (SberLinux OS Server, RHEL) и контроль версий ПО * устранение возникающих инцидентов и технологических задач по компонентам платформы * устранение рисков кибербезопасности (уязвимости компонентов, compliance-несоответствия) * участие в задачах развития платформы в части повышения надёжности и стабильности компонентов * подготовка и проведение приёмо-сдаточных испытаний, внедрение новых версий ПО * настройка и поддержка интеграционных взаимодействий со смежными системами АС Антифрод * проведение риск-менеджмента и capacity-менеджмента * управление дефектами и проблемами в Jira/ITSM * развитие процессов автоматизации DevOps, CI/CD и ротации секретов * развитие инфраструктурного и прикладного мониторинга компонентов системы. Требования *  опыт сопровождения и администрирования высоконагруженных автоматизированных систем в финтехе * знакомство со стеком: Apache Flink, Apache NiFi, Apache Spark, Kubernetes, Docker * опыт настройки Ranger / Sentry (управление доступом в Hadoop) * опыт работы с secman / HashiCorp Vault (управление секретами) * знакомство с AI/ML-инфраструктурой (LlamaIndex, LangChain, векторные БД) * опыт миграционных проектов (vendor replacement, инфраструктурная миграция) * знание ClickHouse, Nginx * опыт автоматизации DevOps и CI/CD пайплайнов. Условия * работа в офисе * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

-Разработка моделей данных и отчетных решений в Power BI и Apache Superset с учетом бизнес-задач.

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission The Guardrails service empowers organizations to confidently deploy autonomous agents by embedding protection mechanisms that govern agent behavior, data access, and decision boundaries. Through policy enforcement, monitoring, and adaptive controls, we help safeguard users and systems while maintaining the agility and intelligence that make agentic automation transformative. Our mission extends beyond UiPath Agents — we're evolving Guardrails into a scalable, platform-wide capability that brings consistent governance and protection across the broader UiPath ecosystem. By combining innovation, security, and user trust, we enable customers to explore the full potential of automation with confidence and control WHAT YOU'LL DO AT UIPATH - Plan, design, develop, and test software systems or applications for enhancements and new features, including cloud-based tools. - Collaborate with cross-functional teams across UiPath to design and engineer product areas and services. - Ensure technical deliverables meet expectations for quality, security, scalability, modifiability, extensibility, and testability. - Contribute to the establishment of effective and agile engineering practices. - Identify performance bottlenecks and bugs; implement solutions to address them. - Plan feature development, design system components, and contribute to the engineering roadmap. - Maintain code quality, organization, and automation. WHAT YOU'LL BRING TO THE TEAM - 5+ years of experience in a software engineering role using high-level languages (C#, C++, Java, Python, Rust, etc.) - Strong grasp of object-oriented programming and architectural design patterns. - Knowledge of multithreading, synchronization, and asynchronous programming. - Solid understanding of data structures and algorithms. - Ability to write well-tested, high-quality code. - Familiarity with the latest versions of .NET and C# features. - Experience with other languages and technologies: C++, NodeJS, JavaScript, Angular, XAML. - Cloud services experience with one or more of: Azure (preferred), AWS, GCP. - Experience with data processing platforms and ETL/ELT pipelines (e.g. Snowflake, Azure Data Factory, Databricks, Spark, dbt). - Familiarity with modern data warehousing concepts, dimensional modeling, and analytics engineering best practices. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Воронеж Наша команда занимается комплексом систем для управления data-продуктами и инструментами аналитики данных в процессах розничного взыскания. Мы ищем участника команды для поддержки действующих решений в системе отчетности и активного её развития Обязанности * Поиск и анализ источников данных; * Исследование и обработка доступных источников данных; * Проектирование, разработка, внедрение и поддержка витрин данных в Greenplum; * Проектирование и разработка ETL-процессов, используя внутренние и внешние источники данных для NRT и Batch поставок данных; * Сопровождение и автоматизация регулярной отчетности; * Анализ и устранение отклонений в системе отчетности Требования **Обязательные навыки и знания:** *  Опыт работы с инструментами BI (Qlik Sense, Навигатор, Tableau, Apache Superset) * Опыт проектирования и разработки отчетов, дашбордов * Уверенное владение SQL (структурированный запрос данных, работа с большими объемами данных, оптимизация запросов) * Опыт работы с СУБД Greenplum и Pangolin * Понимание основ статистики и аналитики, умение анализировать большие объемы данных и делать выводы * Отличное знание MS Office (Excel, PowerPoint, Word) на уровне продвинутого пользователя * Опыт взаимодействия с заказчиками и конечными пользователями, способность выявлять потребности бизнеса и трансформировать их в решения по визуализации данных **Желательные навыки и опыт:** *  Опыт работы с Big Data платформами (Hadoop, Spark, Hive, Impala, Cloudera, MapReduce) * Основы программирования на Python для анализа больших объемов данных * Желателен опыт интеграции данных из различных источников (ERP-системы, CRM, OLTP, внешние API) * Работа с хранилищами данных (Data Lake, DWH) * Аналитическое мышление, структурированное представление выводов и рекомендаций * Коммуникационные навыки, умение понятно объяснять технические аспекты заказчику * Опыт работы с инструментами ETL * Преимуществом будет опыт создания витрин данных Условия * **Офисный формат работы г. Воронеж ул. Платонова, 19;** * График работы: пн - пт, 09:00-18:00; * Гарантии стабильности: оформление по ТК РФ, полный соц. пакет; * Доход складывается из оклада и годового премирования; * Корпоративная программа ДМС для сотрудников и их родственников (включает стоматологию, лечение, обследования, страхование жизни и т.д.); * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ; * Бесплатный тренажерный зал для сотрудников; * В офисе на ул.Платнова,19: кофейня, комнаты приема пищи на 2-4 этажах, комнаты отдыха с комфортными диванами и игровыми приставками; * Подписка Прайм с возможностью совместного использования на трех близких, скидки на продукты компаний-партнеров * Вознаграждение за рекомендацию друзей в команду Сбера * Опции для родителей: материальная помощь при рождении ребёнка, подарки на Новый год и 1 сентября; * Обучение за счет компании и широкие возможности для саморазвития: Online и Ofline обучения, Корпоративная электронная библиотека с самыми новыми и актуальными книгами; * Яркая и разнообразная корпоративная жизнь (праздники, соревнования, спортивные мероприятия), развитое волонтерское направление (культура, помощь детям, взрослому поколению, животным)

В задачи входит разработка и поддержка распределённых процессов обработки данных на базе Apache Spark (Java/Scala) с интеграцией в экосистему Hadoop (HDFS, Hive, HBase), а также взаимодействие с системами Oracle/Postgres и потоковыми данными через Kafka. разработка и поддержка Big Data на крупном проекте;

Location: Москва Команда, которая занимается полным циклом автоматизации драйверных моделей бизнес планирования. Обязанности ### **Чем предстоит заниматься:** * выполнять функции по автоматизации расчетов драйверных моделей * анализ текущего процесса – большая часть которого в Excel, SQL скриптах (разбирать логику, формулы) * поиском источников – анализ и репликация источников в DWH, согласование с владельцами систем * разрабатывать меппинги – опыт работы с огромными хранилищами и системами на 500+ параметров * создавать витрины - спроектировать и наполнить агрегированные слои для бизнес-планирования * внедрять автоматизированный процесс на поддержку, обучить бизнес-пользователей новому формату * заниматься прототипированием во внутренней системе (собственная разработка): создать модель планирования и запустить расчеты Требования ### **Мы ждем что, вы:** * имеете опыт от 3+ лет в аналитике данных, бизнес-аналитке, клиентской аналитике ФЛ * имеете опыт работы с большими данными (Spark, Hadoop, GreenPlum, ClickHouse), знаете SQL и Python * умеете визуализировать данные, писать качественные БТ на разработку дашбордов * понимаете метрикм и драйверы для процесса бизнес-планирования, управления продуктом, клиентской аналитики * имеете опыт фин. моделирования продуктов \\ проектов \\ пилотов \\ инициатив * имеете базовые знания статистики Будет плюсом: * опыт в Banking, Retail, FinTech, E-commerce, Telecom * знания методов cohort analysis, uplift modeling * опыт работы с ML-моделями Условия ### **Что мы предлагаем:** * комфортный современный офис рядом с м. Кутузовская * ежегодный пересмотр зарплаты, годовую премию * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу

Опыт проектирования и поддержки архитектуры данных крупных систем (EDM), разработки и контроля интеграционных решений на базе Talend Studio и Talend Data Quality.

Flow Traders is looking for a Senior Software Engineer Post Trade Platform to build reliable, automated, and data-driven post-trade services.