Data Engineer-AWS and Pyspark

Key Highlights:

• Minimum 1+ years in Data Engineering (PySpark, AWS mandatory)
• Strong experience with AWS services (S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight)
• Expertise in ETL/ELT pipelines, data lakes, warehousing, and streaming technologies (Kafka, Kinesis, Spark Streaming)
• Proficiency in Python, SQL, Scala, Shell scripting, and orchestration tools (Airflow)
• Exposure to CI/CD tools (Git, Jenkins, Spinnaker, Ansible) and NoSQL databases
• Insurance domain experience preferred

Why Join Us:

• Work with a market leader that is part of Indias daily life—from bicycles (BSA, Hercules) to fertilizers (Coromandel) and financial services (Chola).
• Be part of a values-driven culture where careers are built on ethics and trust.
• Contribute to innovation in EVs, Green Energy, and Advanced Materials.
• Explore diverse opportunities across 29 businesses spanning Engineering, Finance, and Agriculture.