Вакансии

Ищем Senior QA в Desktop-команду — человека, который будет отвечать за качество продукта, развивать автоматизацию и помогать команде внедрять AI в процессы тестирования. Чем предстоит заниматься:

🔸 Собирать новые игры на общем игровом движке: игровое поле, ставки и фишки, история раундов, анимации выигрыша и другие игровые механики. 🔸 Интегрировать Rive-анимации и управлять их state machine непосредственно из игровой логики.

• Писать понятные и структурированные тест-кейсы. • Создавать, поддерживать и приоритизировать backlog багов.

We’re looking for a QA Engineer to join a new Crypto Casino / AI-Native project. The key requirement for us is strong hands-on experience and understanding of crypto & blockchain: wallets, transactions, confirmations, deposits/withdrawals, block explorers, and understanding what can go wrong at each stage of a money flow.

Location: Ukraine; Cyprus Workplace: Remote Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting WHAT WE'RE LOOKING FOR We spend significantly on Meta, Google Ads and TikTok, and those platforms optimise only as well as the conversion data we send them. Signal quality is a performance lever for us, not a maintenance task. In this role, you’ll own how conversion events reach every ad network, whether they arrive complete and on time, and whether a change we make actually improves campaign performance. You'll work at the intersection of performance marketing, tracking implementation and privacy, partnering with Marketing, Product, Data Engineering, and directly with representatives from Ad Networks. MAIN RESPONSIBILITIES - Marketing & signal optimization — Partner with ad platform representatives to improve conversion signals, assess platform changes, investigate signal-related performance issues, and design measurement approaches for signal/tracking experiments. - Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from the Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery. - New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing - GTM management — Manage GTM releases across multiple web properties. Design event architecture for data layers. - Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies. - UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution. - Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics. - Marketing datasets — Build and maintain custom marketing performance datasets REQUIRED SKILLS AND EXPERIENCE - 4+ years of experience in ad tech, martech, digital measurement or marketing technology - Hands-on with Google Tag Manager, both client-side and server-side - Experience with conversion APIs — Meta CAPI, Google's equivalent, or similar — and server-side event delivery - Strong understanding of browser-side and server-side tracking, and what breaks in each - Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies and conversion setup - Comfortable working operationally with data and SQL — able to query it, diagnose issues and verify signal quality without depending on an analyst - Experience partnering with performance marketing/user acquisition stakeholders and ability to explain complex measurement concepts to performance marketers in plain language - English at B2 or above, written and spoken — you'll hold relationships with Meta and Google representatives directly NICE TO HAVE - Experience with value-based bidding, predicted LTV, or conversion value optimisation — especially for subscription products - Understanding of privacy, consent management and GDPR-compliant tracking - Familiarity with incrementality and holdout testing (Meta or Google Conversion Lift, geo-experiments) to validate whether signal changes actually moved performance - Background in high-growth consumer subscription, e-commerce, marketplaces or gaming - Experience with Google Tag Gateway or first-party serving setups - Experience with first-party data activation or CDPs Candidate journey ⭕️ Recruiter call --> ⭕️ Technical interview --> ⭕️ Take-home Task --> ⭕️ Panel presentation --> ⭕️ Competency Interview Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro

Location: Romania; Lithuania; Armenia; Estonia; Latvia; Hungary; Bulgaria Workplace: Remote Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting   WHAT WE'RE LOOKING FOR We spend significantly on Meta, Google Ads and TikTok, and those platforms optimise only as well as the conversion data we send them. Signal quality is a performance lever for us, not a maintenance task. In this role, you’ll own how conversion events reach every ad network, whether they arrive complete and on time, and whether a change we make actually improves campaign performance. You'll work at the intersection of performance marketing, tracking implementation and privacy, partnering with Marketing, Product, Data Engineering, and directly with representatives from Ad Networks.   MAIN RESPONSIBILITIES - Marketing & signal optimization — Partner with ad platform representatives to improve conversion signals, assess platform changes, investigate signal-related performance issues, and design measurement approaches for signal/tracking experiments. - Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from the Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery. - New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing - GTM management — Manage GTM releases across multiple web properties. Design event architecture for data layers. - Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies. - UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution. - Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics. - Marketing datasets — Build and maintain custom marketing performance datasets   REQUIRED SKILLS AND EXPERIENCE - 4+ years of experience in ad tech, martech, digital measurement or marketing technology - Hands-on with Google Tag Manager, both client-side and server-side - Experience with conversion APIs — Meta CAPI, Google's equivalent, or similar — and server-side event delivery - Strong understanding of browser-side and server-side tracking, and what breaks in each - Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies and conversion setup - Comfortable working operationally with data and SQL — able to query it, diagnose issues and verify signal quality without depending on an analyst - Experience partnering with performance marketing/user acquisition stakeholders and ability to explain complex measurement concepts to performance marketers in plain language - English at B2 or above, written and spoken — you'll hold relationships with Meta and Google representatives directly   NICE TO HAVE - Experience with value-based bidding, predicted LTV, or conversion value optimisation — especially for subscription products - Understanding of privacy, consent management and GDPR-compliant tracking - Familiarity with incrementality and holdout testing (Meta or Google Conversion Lift, geo-experiments) to validate whether signal changes actually moved performance - Background in high-growth consumer subscription, e-commerce, marketplaces or gaming - Experience with Google Tag Gateway or first-party serving setups - Experience with first-party data activation or CDPs   Candidate journey ⭕️ Recruiter call --> ⭕️ Technical interview --> ⭕️ Take-home Task --> ⭕️ Panel presentation --> ⭕️ Competency Interview   Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro

-Разрабатывать и совершенствовать лучшую на рынке платформу данных электронной коммерции нового поколения. -Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino.

Day to day, you will: Collaborate with developers on exploratory testing of new and modified IDE functionality. Investigate and pinpoint bugs, findings in our tracker, and perform regression testing.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. About the Role We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack. What You'll Do Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Improve performance, reliability, and observability of metric query execution at scale. Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. Mentor other engineers through code review, pairing, and technical guidance. Skills We're Looking For Strong professional software engineering experience, with a strong track record of shipping production systems. Deep proficiency in Python , including modern typing, testing practices, and packaging. Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries. Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines. Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members. Experience collaborating in a distributed, asynchronous team environment. Bonus Skills (Optional) Prior experience contributing to or maintaining a popular open-source project. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why Join Us Impact at scale: Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — улучшать рекомендации — искать гипотезы — прототипировать на GPU — выкатывать в A/B-тесты Требования: — опыт 3+ года — знание Python, SQL, Spark, Docker, Git, ClickHouse, Redis, Deep Learning Условия: — удалённая работа или офис — фултайм

Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).

▫️Проектирование, разработка и поддержка масштабируемых data ingestion pipelines. ▫️Работа с большими объёмами данных — до миллиардов строк.

Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).

Distributed systems, MPP, Python / Go, AWS, Karpenter, Istio, database infrastructure и задачи, в которых можно влиять на то, как все работает вместе.

– Обеспечьте сквозную доставку одного или нескольких приоритетных доменов данных в Azure Databricks. – Разработка и создание конвейеров обработки данных уровня Medallion (Bronze/Silver/Gold) с использованием декларативных конвейеров Lakeflow, Auto Loader, Structured Streaming и Delta Lake с кластеризацией Liquid.

Разрабатывать кластеризованный on-premise build ClickHouse для собственной cloud-инфраструктуры. Внедрять, масштабировать и поддерживать ClickHouse-кластеры в production.

In this role you will: Scrape various API’s on an industrial scale (TB’s/day) Build backend services using Python, focusing on high-load, data-intensive systems, and optimizing data pipelines and analytics. Write and review code for quality, security, and best practices across the backend components.

• Talabalarga Sun'iy Intellekt (AI) va Generative AI bo'yicha amaliy darslar o'tish; • ChatGPT, Claude, Gemini kabi ilg'or AI vositalari hamda Prompt Engineering'ni mukammal o'rgatish;