Data Engineer, Sr.

📋 Description

• Design, develop, and maintain scalable ETL pipelines for data migration and integration.
• Build and optimize AWS data lake/warehouse using Glue, S3, Athena, Redshift, and more.
• Develop Python scripts to automate processing, transformation, and migration.
• Manage relational DBs (MySQL, SQL Server, Aurora MySQL) for performance and reliability.
• Configure and troubleshoot AWS data services (Glue Catalog, SQS, CloudFormation).
• Monitor data platforms for performance, security, and scalability.

🎯 Requirements

• Proven experience as a Data Engineer with AWS cloud data engineering and migration projects.
• Hands-on with S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge
• Strong knowledge of MySQL, SQL Server, and data warehousing (Redshift).
• Proficiency in Python for scripting and ETL development.
• Experience with structured and unstructured data, ETL, and data cleansing.
• Familiarity with Hudi table management, Glue Catalog, SQS, and cloud data lakes.

🎁 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 data platforms.
• Exposure to a broad AWS ecosystem and advanced cloud-native tech.
• Collaborative Agile environment with ownership and autonomy.
• Opportunity to contribute to innovative, product-driven projects.