Data Engineer

Key Responsibilities Design, build, and maintain scalable data pipelines using AWS Glue. Implement ETL/ELT processes for ingesting data from multiple internal and external sources. Optimize data workflows for performance, reliability, and scalability. Monitor, troubleshoot, and resolve data pipeline failures and performance issues. Manage and optimize AWS Redshift data warehouse operations. Configure and maintain data storage solutions, including AWS S3 and data lake environments. Implement data quality and data governance processes. Collaborate with cross-functional teams to design and implement data solutions. Develop and maintain data documentation and metadata. Ensure data pipelines are secure, compliant, and meet business requirements. Develop and maintain data quality and data governance processes. Collaborate with cross-functional teams to design and implement data solutions. Develop and maintain data documentation and metadata. Ensure data pipelines are secure, compliant, and meet business requirements.