Data Engineer

Hi,

Role: Data Engineer As a Data Engineer, you will be responsible for maintaining, expanding, and optimizing our data warehouse, pipelines, and data products. You will collaborate with business users, developers, architects, analysts, and data scientists to ensure optimal data delivery. This role requires strong technical expertise in AWS, PySpark, Python, SQL, and data pipeline design, with hands-on experience in large-scale engagements.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 lifefrom 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.

Regards,

Jenofie Merlin J

[email protected]