Data Engineer, Sr.

📋 Description Design, develop, and maintain scalable ETL pipelines for data migration & integration. Build and optimize AWS data lake/warehouse with Glue, S3, Athena, Redshift, Lake Formation, Lambda Develop Python scripts and DB procedures for automation of data workflows. Manage relational DBs (MySQL, SQL Server, Aurora MySQL) with focus on performance and reliability. Configure/troubleshoot AWS data engineering services (Glue Catalog, Hudi tables, SQS Monitor data platforms, identify bottlenecks, improve scalability and security. 🎯 Requirements Proven Data Engineer with strong AWS cloud data engineering/migration experience. Hands-on AWS (S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge Relational DB knowledge: MySQL, SQL Server; data warehouse design (Redshift). Python proficiency for scripting, ETL, automation. Experience with structured/unstructured data, ETL processing, data cleansing. Knowledge of Hudi, Glue Catalog, SQS; cloud data lake implementations. 🎁 Benefits Fully remote work environment; work from anywhere. Competitive contract compensation based on experience. Work on large-scale cloud migration and modern data platforms. Exposure to broad AWS ecosystem and cloud-native tech. Collaborative Agile environment with ownership and autonomy. Opportunity to contribute to innovative, product-driven projects.