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