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The ideal candidate will work on building scalable data pipelines, automating workflows, integrating datasets, and supporting analytics and ML teams with clean, reliable data solutions.\nKey Responsibilities:\nDevelop, optimize, and maintain data pipelines using Python.\nWork with large datasets and ensure efficient extraction, transformation, and loading (ETL).\nIntegrate data from various internal and external sources.\nBuild reusable Python modules and automation scripts.\nWork closely with data engineers, analysts, and stakeholders to understand requirements.\nOptimize performance of data processes and troubleshoot issues.\nEnsure data quality, validation, and integrity across systems.\nDeploy and monitor data workflows in production environments.\nTechnical Skills Required:\nStrong hands-on experience in Python (Pandas, NumPy, PySpark preferred).\nExperience with ETL development and building data pipelines.\nGood understanding of SQL, complex queries, and stored 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