Design, develop, and maintain ETL / ELT pipelines to process structured and unstructured data.
Build and optimize data lakes and data warehouses using AWS services (e.g., S3, Glue, Redshift, EMR, Lambda).
Develop automation scripts and tools using Python for data integration, validation, and transformation.
Collaborate with data analysts, data scientists, and business stakeholders to ensure data availability and reliability.
Implement best practices for data governance , security , and monitoring .
Optimize data pipelines for performance and cost efficiency .
Troubleshoot and resolve data-related issues in production environments.
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Data Engineer • bhopal, madhya pradesh, in
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