We are looking for an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and data warehousing solutions using AWS services. The ideal candidate should have strong hands-on expertise with AWS Lambda, Glue, and Redshift, along with proficiency in Python and SQL to support data processing and analytics workloads. Responsibilities: Develop and manage ETL pipelines using AWS Glue and AWS Lambda functions. Design and optimize data warehousing solutions on Amazon Redshift. Write efficient Python scripts and SQL queries for data transformation and analysis. Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions. Monitor and troubleshoot data workflows to ensure high performance and reliability. Implement best practices for data security, governance, and quality.

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