Advanced SW Engineer-Data Engineering -MLOPs

About the role

As a Data Engineer, you will design, build, and operate production-grade data pipelines and cloud-native services for large volumes of vehicle, sensor, validation, and engineering data. You will work with global engineering, product, AI/ML, and automotive-domain teams to make trusted data discoverable, reliable, secure, and ready for analytics and machine learning.

What you'll do

• Design, build, and operate production-grade data pipelines and cloud-native services for large volumes of vehicle, sensor, validation, and engineering data
• Work with global engineering, product, AI/ML, and automotive-domain teams to make trusted data discoverable, reliable, secure
• Design, develop, and maintain scalable batch and streaming pipelines that ingest data from vehicles, sensors, APIs, files, databases, and cloud services
• Build reusable ETL/ELT frameworks for transforming raw data into curated, analytics-ready and ML-ready datasets
• Design data models and storage patterns across data lakes, lakehouses, warehouses, and SQL and NoSQL systems

What you need

• 5–10 yrs of experience
• MLOps
• SQL
• ETL
• Python
• AWS
• Data modelling
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Azure Data Factory
• Spark
• Airflow
• Kafka
• Databricks
• dbt