Data Engineer, Sr.

📋 Description Design, develop, and maintain scalable ETL pipelines for large-scale data migration and integration. Build, configure, and optimize AWS data lake/warehouse using Glue, S3, Athena, Redshift, Lake Develop Python scripts and database procedures to automate data processing, transformation Manage relational databases (MySQL, SQL Server, Aurora MySQL) for performance, replication, and Configure and troubleshoot AWS data engineering services including Glue Catalog, Hudi tables, SQS Monitor data platforms, identify bottlenecks, and improve scalability, security, and operational 🎯 Requirements Proven experience as a Data Engineer with strong AWS cloud data engineering and migration project Hands-on experience with AWS services: S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Strong knowledge of relational databases (MySQL, SQL Server) and data warehouse architecture Proficiency in Python for scripting, automation, ETL development, and data transformation. Experience with structured and unstructured data, data cleansing, conversion, and large-scale ETL Familiarity with Agile methodologies and product-focused software development environments. 🎁 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 modern data platform initiatives. Exposure to a broad AWS ecosystem and advanced cloud-native technologies. Collaborative Agile environment with high ownership and technical autonomy. Opportunity to contribute to innovative, product-driven engineering projects.