Senior Scala Engineer_IND

Location: Intellias Meet your recruiter Samprati Muddalkar samprati.muddalkar@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior India, Pune Hybrid APPLY NOW REFER A FRIEND Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us! As a Senior Backened Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units. What project we have for you Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility. You will work on the platform — a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products. Working as part of an agile, cross-functional team on Rakhee’s team, you will build and maintain backend services and distributed data pipelines that keep this platform accurate, reliable, and ready for production load. The primary language on this team is Scala — strong engineers in either language are welcome. What you’ll work on: Distributed batch pipelines for large-scale road dataset processing (Spark on EMR) Error detection, confidence-based auto-fix logic, and manual review workflows for map attributes Data validation, quality gates, and traceability across the pipeline Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness) Technologies: Scala Python( Good to have) Apache Spark Kafka SQL / PostgreSQL AWS (Step Functions, ECS, Lambda, EMR) Apache Airflow Java ( Good to have) CI/CD (GitHub / GitLab) What you will do Design and implement scalable backend services and data processing pipelines Contribute to architecture and design discussions with reasoned technical input Own delivery end-to-end: development, testing, performance optimization, and production support readiness Implement and maintain testing practices (Unit, Integration, E2E) for owned components Contribute to monitoring, alerting, and observability of production systems Improve code quality via reviews, automated testing, and engineering best practices Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process Share knowledge and support junior team members’ growth What you need for this Required Skills 5+ years building backend systems with Scala as your primary language (strong core competency in one — not a shallow familiarity in both) Distributed data processing — Apache Spark or equivalent (production usage required, regardless of whether your primary language is Scala or Python) Kafka — event-driven architecture, producers/consumers, production usage AWS — practical experience with EMR, Step Functions, ECS, or Lambda Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes) Solid knowledge of data structures, OOP, and design patterns Good understanding of concurrency and multithreading concepts LLD: modular architecture, clean abstractions, component design API design awareness: RESTful services, backward compatibility Testing strategy: unit, integration, E2E — deliberate approach to coverage Monitoring & observability: logging, metrics, alerting, dashboards in production systems CI/CD pipelines (GitHub / GitLab) and engineering best practices English: Upper Intermediate+ (written and spoken) Nice to Have The other primary language — if your primary is Scala, Python is a plus; if your primary is Python, Scala is a plus Java Apache Airflow or similar pipeline orchestration LLM/MCP tooling experience Experience with geospatial/map-related data or large-scale data quality systems 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 Apache AWS BigData DataEngineer EMR Kaffka Scala Spark