Job DescriptionJOB DETAILS:
NPosition - DATA ENGINEER
NRelevant Experience - 4 to 7 years
NLocation Option – Pune / Gurgaon / Bangalore
NSkills:
N
- n
- Hands on experience on Data bricks, AWS Serverless stack (APIGW, Lambda, S3, Glue) N
- RDS,SQL, PostgtreSQL N
- Pythonn
- Working knowledge of APIs N
- Exposure to working with AI Agents N
- Data productsn

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