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