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