Data Engineer, Sr.

📋 Description

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

🎯 Requirements

• Proven experience as a Data Engineer with AWS cloud data engineering and migration expertise.
• Hands-on experience with S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions
• Strong knowledge of relational databases (MySQL, SQL Server, 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, AWS Glue Catalog, SQS, and cloud-based data lake implementations.

🎁 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 ownership and autonomy.
• Opportunity to contribute to innovative, product-driven engineering projects and expand cloud data