Data Engineer, Sr.

📋 Description

• Design, build, and maintain scalable ETL pipelines for large-scale data migration and integration.
• Build, configure, and optimize AWS-based 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) with focus on performance
• Configure/troubleshoot AWS data engineering services (Glue Catalog, Hudi tables, SQS
• Monitor data platforms, identify bottlenecks, and implement scalability, security, and operational

🎯 Requirements

• Proven experience as a Data Engineer with strong expertise in AWS cloud data engineering and
• Hands-on experience with AWS S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions
• Strong knowledge of relational databases (MySQL, SQL Server) and data warehouse architecture
• Proficiency in Python for scripting, automation, ETL, and data transformation.
• Experience with structured and unstructured data, data cleansing, conversion, and large-scale ETL
• 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