Senior Python & AWS Data Engineer — Data Modernization Lead

Capgemini; New York (NY); On-site; USD 86,129 - 127,189; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a highly skilled Senior Data Engineer for a role focused on enterprise data modernization initiatives, based in New York, Chicago, and Atlanta. This position emphasizes expertise in Python, AWS, and relational databases.

As a Senior Data Engineer, you will play a critical role in leading end-to-end data migration while ensuring accuracy and compliance. Capgemini offers a comprehensive benefits package including medical coverage and retirement savings plans.

Qualifications

• Deep expertise in Python and AWS.
• Strong experience in relational databases and mainframe technologies.
• Ability to ensure data accuracy, integrity, and governance.

Responsibilities

• Lead and execute end-to-end data migration efforts.
• Analyze legacy data structures and design transformation strategies.
• Develop and maintain data pipelines and automation scripts.
• Collaborate with stakeholders to gather requirements.

Skills

Python

AWS

Relational databases

Mainframe technologies (VSAM, DB2)

Tools

AWS RDS

Job description

Capgemini is seeking a highly skilled Senior Data Engineer for a role focused on enterprise data modernization initiatives, based in New York, Chicago, and Atlanta. This position emphasizes expertise in Python, AWS, and relational databases.

As a Senior Data Engineer, you will play a critical role in leading end-to-end data migration while ensuring accuracy and compliance. Capgemini offers a comprehensive benefits package including medical coverage and retirement savings plans.