Data Engineer - Snowflakes/AWS
Merck KGaA (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data ingestion and transformation pipelines using Snowflake and AWS.
- Optimize SQL queries, Snowflake virtual warehouses for cost and performance, and manage Snowflake security and governance.
- Implement DevOps practices including version control, CI/CD, and infrastructure as code for data platform deployments.
Minimum Requirements
- 3 to 5+ years of hands-on experience in data engineering or cloud data warehousing.
- Strong expertise in Snowflake features such as virtual warehouses, Streams & Tasks, Snowpipe, clustering, and Time Travel.
- Proficient in expert-level SQL and Python including data libraries like Pandas and NumPy.
- Experience with cloud platforms (AWS/Azure/GCP) and data transformation tools such as dbt.
Ideal Candidate Profile
- Experienced in end-to-end ownership of enterprise data provisioning and regulated-environment delivery workflows.
- Skilled in implementing role-based access control and multi-stage approval workflows within data platforms.
- Demonstrated ability in blending backend Python development, Snowflake performance tuning, and cloud-native event-driven ingestion for industrial and OT data.