Role Description:
Perform data validation, reconciliation, and quality assurance activities across the Customer Data Products. Execute end-to-end testing for customer mastering, identity resolution, matching, merging, survivorship, and householding processes. Write complex SQL queries for data profiling, validation, reconciliation, root cause analysis, and defect investigation. Validate ETL/data pipeline transformations and data movement across source systems. Perform testing and validation of Snowflake data warehouses, data marts, curated data products, and customer analytics datasets. Verify business rules, transformations, aggregations, and customer data calculations within enterprise data products. Support customer data certification, data governance, data stewardship, and data quality initiatives. Analyze and troubleshoot data quality issues involving customer identities, household relationships, matching results, and downstream reporting. Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, daily stand-ups, demos, and retrospectives. Support production validation, post-deployment verification, defect triage, and ongoing operational testing activities. Validate customer data feeds consumed by operational platforms, analytics, reporting, Power BI, and enterprise decision-support systems.
RequirementsSkills and Capabilities
Other Critical Skill
SQL - Advanced
Data Validation - Advanced
ETL Testing - Advanced
Snowflake - Intermediate
Automation Testing - Intermediate
Customer Master Data Management (MDM) - Intermediate
Agile / Scrum - Intermediate
Defect Management - Advanced
Data Reconciliation - Intermediate
Root Cause Analysis - Entry Level
Test Planning & Execution - Advanced
Software / Tool Skills
SQL (Advanced) - Advanced (7+ Years)
Snowflake - Advanced (7+ Years)
AWS S3, Glue, Lambda, EventBridge - Intermediate (4-6 Years)
AWS EMR Serverless , Step Functions - Entry Level (1-3 Years)
Automated Testing Frameworks - Advanced (7+ Years)
Data Reconciliation Tools - Intermediate (4-6 Years)
Git/GitHub - Entry Level (1-3 Years)
PySpark - Entry Level (1-3 Years)
Benefits
Competitive compensation and benefits package:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
Note: Benefits differ based on employee level.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/
Skills Required
- Advanced SQL skills
- Advanced data validation experience
- Advanced ETL testing experience
- Intermediate Snowflake experience
- Intermediate automation testing experience
- Intermediate Customer Master Data Management experience
- Intermediate Agile/Scrum experience
- Advanced defect management experience
- Intermediate data reconciliation experience
- Root cause analysis experience
- Advanced test planning and execution experience
- 7+ years of SQL experience
- 7+ years of Snowflake experience
- 4-6 years of AWS S3, Glue, Lambda, and EventBridge experience
- 1-3 years of AWS EMR Serverless and Step Functions experience
- 7+ years of automated testing framework experience
- 4-6 years of data reconciliation tools experience
- 1-3 years of Git/GitHub experience
- 1-3 years of PySpark experience
Capgemini Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Capgemini and has not been reviewed or approved by Capgemini.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning medical, dental, and vision alongside life and AD&D options. Additional wellbeing supports like employee assistance programs, gym discounts, and pet insurance broaden the value beyond core insurance.
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Parental & Family Support — Family-related benefits include maternity/paternity leave and broader family-forming support such as fertility and surrogacy assistance in some locations. Inclusive caregiving supports like back-up child and elder care and out-of-state medical travel are also highlighted.
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Equity Value & Accessibility — Equity participation is available through recurring employee share ownership or purchase programs, creating a longer-term wealth-building option in addition to salary. Eligibility and local access can vary, so confirming participation windows and requirements is important.
Capgemini Insights
What We Do
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.
