Data Engineer, Sr.

📋 Description Design, develop, and maintain scalable ETL pipelines to support large-scale data migration and Build, configure, and optimize AWS-based data lake and warehouse solutions using services such as Develop Python scripts and database procedures to automate data processing, transformation Manage relational databases, including MySQL, SQL Server, and Aurora MySQL, with a focus on Configure and troubleshoot AWS data engineering services, including Glue Catalog, Hudi tables, SQS Monitor data platforms, identify performance bottlenecks, and implement improvements to ensure 🎯 Requirements Proven experience as a Data Engineer with strong expertise in AWS cloud data engineering and Hands-on experience with AWS services including S3, Athena, Glue, Redshift, Lake Formation, Lambda Strong knowledge of relational databases, including MySQL, SQL Server, and data warehouse Proficiency in Python for scripting, automation, ETL development, and data transformation. Experience working with structured and unstructured data, data cleansing, conversion, and Knowledge of Hudi table management, AWS Glue Catalog, SQS, and cloud-based data lake 🎁 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 levels of ownership and technical autonomy. Opportunity to contribute to innovative, product-driven engineering projects and expand cloud data