Data Engineer, Sr.

📋 Description Design, develop, and maintain scalable ETL pipelines for data migration and integration. Build and optimize AWS data lake/warehouse using Glue, S3, Athena, Redshift, and more. Develop Python scripts to automate processing, transformation, and migration. Manage relational DBs (MySQL, SQL Server, Aurora MySQL) for performance and reliability. Configure and troubleshoot AWS data services (Glue Catalog, SQS, CloudFormation). Monitor data platforms for performance, security, and scalability. 🎯 Requirements Proven experience as a Data Engineer with AWS cloud data engineering and migration projects. Hands-on with S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge Strong knowledge of MySQL, SQL Server, and data warehousing (Redshift). Proficiency in Python for scripting and ETL development. Experience with structured and unstructured data, ETL, and data cleansing. Familiarity with Hudi table management, Glue Catalog, SQS, and cloud data lakes. 🎁 Benefits Fully remote work environment with flexibility to work from anywhere. Competitive contract compensation based on experience. Opportunity to work on large-scale cloud migration and data platforms. Exposure to a broad AWS ecosystem and advanced cloud-native tech. Collaborative Agile environment with ownership and autonomy. Opportunity to contribute to innovative, product-driven projects.