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Software Engineering
Java Engineer
Middle
India, Pune
Hybrid
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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 central repository that collects and standardizes observations from dashcams, satellites, aerial images, and vehicle sensors, then delivers them to downstream teams via well-defined APIs. The system handles data ingestion from diverse, heterogeneous sources, normalizes and validates it, and makes it reliably available at scale for products that power navigation and autonomous driving.
Working as part of an agile team, you will build and maintain the backend services and pipelines that keep this platform accurate, reliable, and ready for production load.
What you’ll work on:
- Data ingestion pipelines from heterogeneous sources (dashcam, satellite, aerial, vehicle sensors)
- Standardization, validation, and quality gates for incoming map observations
- API-based delivery of processed data to downstream teams
- Distributed batch processing of large-scale geo-datasets
- Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)
Technologies:
- Java
- Python (Pandas, NumPy, scripting, automation, ETL)
- Kafka
- SQL / PostgreSQL
- AWS (Step Functions, ECS, Lambda, EMR)
- Apache Spark
- Apache Airflow
- Scala
- CI/CD (GitHub / GitLab)
What you will do
Responsibilities
- Implement backend services and data processing pipeline components following established architecture
- Write clean, maintainable code with proper unit and integration test coverage
- Own assigned tasks end-to-end: development, testing, and documentation
- Follow team standards for monitoring, logging, and observability
- Participate in code reviews — both giving and receiving feedback
- Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process
- Actively learn from senior engineers and grow technical skills
What you need for this
Required Skills
- 3+ years building backend systems with Java (strong core Java)
- Python — hands-on usage in data processing, automation, ETL, or scripting (Pandas, NumPy, or equivalent); hard requirement for this role
- Kafka — event-driven architecture, producers/consumers, production usage
- AWS — practical experience with Step Functions, ECS, Lambda, or EMR
- Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes)
- Solid knowledge of data structures, OOP, and design patterns
- LLD principles: modular architecture, clean abstractions
- Testing practices: unit and integration testing
- Basic monitoring & observability: logs, metrics, dashboards
- CI/CD pipelines (GitHub / GitLab) and engineering best practices
- English: Upper Intermediate+ (written and spoken)
Nice to Have
- Scala
- Apache Spark or equivalent distributed processing
- Apache Airflow or similar pipeline orchestration
- Experience with geospatial/map-related data or large-scale data ingestion 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.
