Lead Data Migration Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location - Westlake TX (Day One Onsite - Hybrid)
About The Role
Capgemini is seeking an experienced Data Migration Engineer who executes data migration tasks builds pipelines and supports validation efforts under guidance from senior engineers
Key Responsibilities
Develop and maintain ETLELT pipelines
Perform data extraction transformation and loading tasks
Assist in defining data mappings and transformation rules
Execute data validation and reconciliation checks
Identify and resolve data quality issues
Collaborate with team members on migration testing
Document processes and support runbooks playbooks
Required Skills
10 years of experience in data engineering or related roles
Proficiency in SQL and at least one programming language Python preferred
Solid experience in writing complex SQL queries
Hands on experience with performance optimization and tunning approaches SQL Tuning
Familiarity with ETL tools Informatica and data platforms
Understanding of data modeling and databases
Familiarity with distribution application design and development Java Net Python would be a plus
Familiarity with large complex system design
Public Cloud experience Microsoft Azure preferred
Experience working with large data sets
Strong problem solving and analytical skills
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Impact
Ensures accurate and efficient execution of migration tasks
Supports broader migration program success
Builds foundational expertise for scaling into senior roles
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Salary Transparency
The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time