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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate scalable batch and streaming data pipelines ingesting and processing large volumes of vehicle, sensor, and engineering data for ADAS and autonomous driving solutions.
Develop reusable ETL/ELT frameworks and data models across data lakes, warehouses, and NoSQL systems, ensuring data quality, security, and observability throughout the data lifecycle.
Collaborate with global AI/ML, product, and engineering teams; potentially own technical workstreams, define engineering standards, and mentor other engineers as the India data engineering team expands.
Minimum Requirements
5-10 years of professional experience in data engineering or related fields.
Strong programming skills in Python and advanced SQL knowledge.
Hands-on experience with production ETL/ELT pipelines, distributed data processing (e.g., Apache Spark), and at least one public cloud platform (AWS or Azure).
Experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Step Functions.
Ideal Candidate Profile
Experienced in designing and optimizing large-scale, production-grade data platforms in automotive or sensor data domains, preferably at petabyte scale.
Familiarity with CI/CD, infrastructure as code, containerization, and cloud-native data services relevant for scalable, secure, and reliable platforms.
Able to work cross-functionally with AI/ML, platform, product, and embedded teams globally, and ready to lead and mentor technical members in a growing team.