Capgemini

Python & AWS Data Engineer

$86K–$127KNew York, NY
✓ Verified live on the employer's own system · added 27 days ago
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What this role involves

Data SolutionsScalable DataEnterprise Data

Skills & tools

Cloud PlatformsPythonSecurityTroubleshootingRecordkeepingSQL
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Full job description

Seeking a highly skilled and motivated Senior Data Engineer to support enterprise data modernization initiatives.

This role requires deep expertise in Python, AWS, and relational databases, combined with strong experience in mainframe technologies (VSAM, DB2). The candidate will play a critical role in end-to-end data migration, transforming legacy data systems into modern, scalable cloud-based architectures while ensuring data accuracy, integrity, and governance standards.

Responsibilities: Lead and execute end-to-end data migration efforts, including planning, design, execution, validation, and post-migration support. Analyze legacy data structures (VSAM, DB2) and design transformation strategies into modern RDBMS and AWS environments. Develop and maintain data pipelines and automation scripts using Python.

Design, implement, and maintain data models (conceptual, logical, and physical). Manage and administer AWS RDS environments, ensuring high availability, performance optimization, and security compliance. Collaborate with business and technology stakeholders to gather and translate requirements into scalable data solutions.

Ensure adherence to data governance, data quality, and compliance standards. Troubleshoot data-related issues and provide timely resolution. Prepare technical documentation for data models, migration workflows, and architecture designs.

The base compensation range for this role in the posted location is: $86129 to $127189

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This posting was published by Capgemini on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.