The QA Test Engineer will design and execute test cases for MDM projects, validate data quality, match and merge logic, perform testing for various MDM solutions, and collaborate with developers and stakeholders.
This is a remote position.
QA Test Engineer - MDM
Job Description:
We are looking for a detail-oriented QA Test Engineer with hands-on experience in testing Master Data Management (MDM) projects. The ideal candidate should have strong expertise in validating Match and Merge logic, data quality rules, and end-to-end MDM workflows to ensure accurate and reliable master data across enterprise systems.
Key Responsibilities:
- Design and execute test cases for MDM implementations, focusing on Match, Merge, and Survivorship logic.
- Validate golden record creation, duplicate detection, and de-duplication scenarios.
- Test MDM data models, hierarchies, and relationships.
- Perform data validation across staging, base, and downstream systems.
- Validate data quality rules, standardization, and enrichment logic.
- Execute functional, integration, regression, and UAT testing for MDM solutions.
- Perform backend data testing using SQL queries.
- Validate batch and real-time data loads and reconciliations.
- Log, track, and retest defects using tools like JIRA.
- Collaborate closely with MDM developers, data architects, and business stakeholders.
- Support release testing and post-production validation.
Required Skills & Qualifications:
- Proven experience as a QA Test Engineer on MDM projects.
- Strong hands-on experience with Match & Merge logic and survivorship rules.
- Good understanding of MDM concepts such as golden records, XREF, trust score, and hierarchies.
- Strong SQL skills for data validation and analysis.
- Experience with data quality and data governance testing.
- Familiarity with ETL/ELT processes and data integration testing.
- Experience working in Agile / Scrum environments.
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Sell CrowdStrike cybersecurity solutions into mid-market and SMB accounts across LATAM. Manage full sales cycle from prospecting to close, collaborate with sales engineers and channel partners, forecast and report to management, and maintain deep product and competitive knowledge. Travel up to 20% as needed.
Top Skills:
CloudCrowdstrike PlatformCybersecuritySaaSSalesforce (Sfdc)
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Provide tech support and customer service to assist customers with billing and technical troubleshooting for DISH TV. Engage customers to promote products and ensure satisfaction.
Top Skills:
Bilingual CommunicationCustomer ServiceTroubleshooting
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
This role involves handling inbound sales calls, influencing customer purchases, and promoting products in a fast-paced environment. High performers can achieve uncapped commissions.
Top Skills:
HeadsetMonitorsMouseSmartphoneUsb KeyboardWebcamWired Internet
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


