Senior Data Migration Engineer - Cloud Migrations Lead

Capgemini

Texas

Hybrid

USD 80,000 - 106,000

Full time

14 days+

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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

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