Job DescriptionJOB DETAILS

NPosition - DATA ENGINEER

NRelevant Experience - 4 to 7 years

NLocation Option – Pune / Gurgaon / Bangalore

NSkills:

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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
N
Exposure to working with AI Agents
N
Data products
n

NSQL – Must Have

n

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Window functions (ROW_NUMBER, RANK, LEAD, LAG).
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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

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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 (India)
🏢 Ascendion
📍 India