Live opening · Posted 23 days ago
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About the role
Description supplied by the original job listing.
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 / Merrimack NH (Day One Onsite - Hybrid)
About The Role
Stock Plan Services an equity compensation services division of client is seeking an experienced Data Migration Engineer who can help design and leads execution of complex data migration initiatives Owns key components of migration delivery and ensures high quality outcomes
Key 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
Required Skills
7-10 years in data engineering or migration
Strong hands on experience with ETLELT tools and SQL Python
Experience with cloud data platforms Azure AWS
Solid understanding of data modeling and transformation patterns
Experience with testing validation and reconciliation processes
Ability to lead small teams or initiatives
Impact
Drives successful execution of large migration efforts
Ensures high data quality and system readiness
Key contributor to delivery timelines and outcomes
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
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 of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individua
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