Senior Data Migration Engineer - Cloud Migrations Lead

Capgemini; Town of Texas, Northern (WI, KY); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare

401(k) and ESOP

Paid time off

Paid holidays

Parental leave

Learning programs

Job summary

Capgemini is hiring a Data Migration Engineer in the Westlake, TX area. The role centers on designing and leading complex data migration initiatives, owning components of migration delivery, and ensuring high quality outcomes.

You will design migration pipelines, define mappings and validation rules, and drive successful execution while collaborating with Product, QA, and business teams. The ideal candidate has 7-10 years in data engineering or migration, hands-on ETL/ELT tooling, SQL and

Qualifications

• 7-10 years in data engineering or migration.
• Strong hands-on experience with ETL/ELT tools and SQL/Python.
• Experience with cloud data platforms Azure and AWS.
• Solid understanding of data modeling and transformation patterns.
• Experience with testing, validation and reconciliation processes.
• Ability to lead small teams or initiatives.

Responsibilities

• Design and implement data migration pipelines and workflows.
• Define data mappings, transformation logic and validation rules.
• Lead migration execution and troubleshooting.
• Ensure data accuracy, completeness and reconciliation.
• Collaborate with Product, QA, and business teams.
• Conduct data quality assessments and remediation.
• Support cutover planning and execution.
• Contribute to improving tools, frameworks and processes.

Skills

Data engineering

ETL/ELT tools

SQL

Python

Cloud platforms

Data modeling

Testing & validation

Leadership

Tools

Azure

AWS

Job description

Capgemini is hiring a Data Migration Engineer in the Westlake, TX area. The role centers on designing and leading complex data migration initiatives, owning components of migration delivery, and ensuring high quality outcomes.

You will design migration pipelines, define mappings and validation rules, and drive successful execution while collaborating with Product, QA, and business teams. The ideal candidate has 7-10 years in data engineering or migration, hands-on ETL/ELT tooling, SQL and