Role will be part of our Quality Engineering & Assurance (QE&A) Practice. With more than 650 clients across industry verticals and a global footprint, Cognizant QE&A practice is a recognized thought leader in quality engineer and Assurance .As enterprises simplify, modernize and secure their legacy environments for the digital era, robust quality Engineering and assurance is essential. Quality takes an end-to-end connotation and must straddle both legacy and digital systems. Cognizant QE&A is reimagining QE&A, employing an end-to-end ecosystem approach with intelligent and automated QA processes. In so doing, increasing quality and speed to promote faster business and technology change, as well as a better customer experience.
Key Responsibilities
- Supporting end-to-end TDM solutions at enterprise scale, along with working knowledge of data protection regulations such as GDPR and DPA to ensure compliant handling of test data in lower environments.
- Database Expertise - Mainframe Db2, Oracle, SQL — including writing complex queries, understanding schemas, and working across relational and mainframe data structures.
- Working with Delphix platform for data virtualization, provisioning, and refresh operations across non-production environments.
- Performing data profiling to identify sensitive/PII data, and implementing data masking strategies to ensure compliance with data privacy and security standards.
- Design and manage virtual data copies, automate data refresh cycles, and reduce environment provisioning time using virtualization techniques.
- Creating synthetic test data to support testing needs where masked production data isn't sufficient or available, ensuring referential integrity and realistic data patterns.
- Integrating test data provisioning into CI/CD pipelines (e.g., Jenkins, GitLab CI, or similar), supporting automated test data readiness for continuous testing
- Work closely with QA, development, DBAs, and data governance teams to align test data strategies with compliance requirements. Ability to document TDM processes, standards, and contribute to building repeatable, scalable test data provisioning pipelines
Key Skills and Experience :
- Test Data Management: Experience supporting end-to-end TDM solutions at enterprise scale, along with working knowledge of data protection regulations such as GDPR and DPA to ensure compliant handling of test data in lower environments.
- Database Expertise: Strong hands-on experience with Mainframe Db2, Oracle, SQL — including writing complex queries, understanding schemas, and working across relational and mainframe data structures.
- TDM Platform Proficiency: Mandatory hands-on experience with the Delphix platform for data virtualization, provisioning, and refresh operations across non-production environments.
- Data Masking & Profiling: Proven experience performing data profiling to identify sensitive/PII data, and implementing data masking strategies to ensure compliance with data privacy and security standards.
- Data Virtualization & Refresh: Ability to design and manage virtual data copies, automate data refresh cycles, and reduce environment provisioning time using virtualization techniques.
- Synthetic Data Generation: Experience creating synthetic test data to support testing needs where masked production data isn't sufficient or available, ensuring referential integrity and realistic data patterns.
- CI/CD & Automation Integration: Understanding of integrating test data provisioning into CI/CD pipelines (e.g., Jenkins, GitLab CI, or similar), supporting automated test data readiness for continuous testing.
- Additional TDM Tool Exposure: Working knowledge of other TDM tools such as Broadcom TDM, IBM Optim, K2View, or GenRocket is a plus.
- Cross-functional Collaboration: Work closely with QA, development, DBAs, and data governance teams to align test data strategies with compliance requirements. Ability to document TDM processes, standards, and contribute to building repeatable, scalable test data provisioning pipelines.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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