- Hands on experience on Data bricks, AWS Serverless stack (APIGW, Lambda, S3, Glue)
- RDS,SQL, PostgtreSQL
- Python
- Working knowledge of APIs
- Exposure to working with AI Agents
- Data products
SQL – Must Have
- Window functions (ROW_NUMBER, RANK, LEAD, LAG).
- joins and query optimization.
JD:
Specialized in building scalable pipelines using GitHub, optimizing ETL workflows using native Databricks capabilities and Amazon web services
- Build and maintain API integrations
- Develop SFTP pipelines and automated file ingestion
- Create error handling, notifications, and monitoring workflows
- Implement low-complexity ingestions (e.g., file drops, partner data shares)
- Maintain scripts and GitHub repositories
- Test pipelines and Document flows
📌 AWS Databricks Data Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru
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