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The ideal candidate should have at least 6 years of experience in data engineering and be capable of designing, developing, and maintaining scalable data pipelines. This role offers an excellent opportunity to work on modern data platforms and contribute to business-critical data solutions.\n\nKey Responsibilities:\n\n- Design, develop, and maintain ETL/ELT data pipelines.\n\n- Build and optimize data models, data warehouses, and data integration solutions.\n\n- Extract, transform, and load data from multiple structured and unstructured sources.\n\n- Ensure data quality, integrity, security, and performance across data platforms.\n\n- Collaborate with cross-functional teams including Data Analysts, BI Developers, and Software Engineers.\n\n- Troubleshoot data issues and optimize existing workflows for efficiency.\n\n- Prepare technical documentation and support production deployments.\n\nRequired Skills:\n\n- Minimum 6 years of experience in Data Engineering, specifically working on AWS (Glue, Redshift).\n\n- Strong knowledge of SQL and relational databases.\n\n- Experience with Python for data processing and automation.\n\n- Hands-on experience 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