Senior Python & AWS Data Engineer - Cloud Data Migrations

Capgemini; New York (NY); On-site; USD 86,000 - 127,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

401(k) retirement savings

Job summary

Capgemini is seeking a Senior Data Engineer to support enterprise data modernization initiatives in a multi-location onsite setting.

The role requires deep expertise in Python, AWS, and relational databases, plus experience with mainframe technologies (VSAM, DB2). You will drive end-to-end data migrations, ensure data integrity, and govern data quality while collaborating with stakeholders across Capgemini.

Qualifications

• Experience leading end-to-end data migration projects.
• Strong design skills for scalable cloud-based architectures.
• Proficiency with Python for data pipelines.

Responsibilities

• Lead end-to-end data migration efforts from planning to post-migration support.
• Analyze legacy VSAM/DB2 data and design transformations to modern RDBMS/AWS.
• Develop and maintain data pipelines using Python.
• Design and maintain data models (conceptual, logical, physical).
• Manage AWS RDS for high availability, performance, and security.
• Collaborate with stakeholders to translate requirements into data solutions.
• Ensure data governance and data quality compliance.
• Troubleshoot data issues and provide timely resolutions.
• Prepare technical documentation for models and migration workflows.

Skills

Python

AWS

Relational databases

VSAM

DB2

Data migration

Data governance

Data pipelines

Tools

AWS RDS

Job description

Capgemini is seeking a Senior Data Engineer to support enterprise data modernization initiatives in a multi-location onsite setting.

The role requires deep expertise in Python, AWS, and relational databases, plus experience with mainframe technologies (VSAM, DB2). You will drive end-to-end data migrations, ensure data integrity, and govern data quality while collaborating with stakeholders across Capgemini.