Design and implement data pipelines using AWS services (S3, Glue, PySpark, EMR).
Develop and maintain data processing scripts with Python and SQL.
Optimize data storage with RDS, Redshift, DynamoDB.
Build data warehousing layers for various use cases.
Leverage SQL and ETL/data modeling expertise.
Ensure data accuracy and availability for analytics and reporting.

🎯 Requirements

3-8 years of experience.
Immediate joiners preferred; able to start within 30 days.
Bachelor's or Master's in CS, CE, or IT.
Experience with AWS cloud and services: S3, Glue, Redshift, Athena, Lambda, SQS.
Experience with batch scheduling and data/job dependencies.
Data warehousing, ETL, and big data processing.

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