MDM QA Engineer

Role & responsibilities

Own end-to-end testing lifecycle for enterprise data platforms, including test planning, execution, defect management, and sign-off.

• Design, build, and execute robust validation strategies for ETL/ELT pipelines and data integration workflows.

• Validate data accuracy, match-merge rules, data harmonization, and survivorship within Master Data Management (MDM) platforms.
• Conduct advanced SQL and script-based data validation across Snowflake environments to verify schema transformations, performance, and data integrity.
• Serve as the primary client-facing QA representative, driving triage meetings, presenting test coverage reports, and aligning on acceptance criteria.
• Must Have
• Experience: 5+ years of dedicated experience in Data QA, ETL testing, or Data Warehousing validation.
• Snowflake & SQL: Strong hands-on expertise with Snowflake architecture, writing advanced SQL queries, and validating high-volume, multi-source datasets.
• Pipeline Testing: Proven experience validating complex batch and near-real-time data pipelines (ETL/ELT), schema changes, and source-to-target mappings.
• MDM QA: Strong functional and data validation experience with Master Data Management (MDM) concepts, including entity resolution, survivorship, deduplication, and data governance rules.
• Client-Facing Ownership: Demonstrated ability to work independently, manage client expectations, lead QA discussions, and deliver end-to-end ownership without day-to-day supervision.

Good to Have

• Python Scripting: Practical knowledge of Python for building test automation utilities, data validation scripts, or pipeline verifications.
• Cloud architecture: Familiarity with cloud platforms (AWS, Azure, or GCP)
• CI/CD & Automation: Experience integrating automated data tests into CI/CD pipelines.
• Agile Delivery: Experience working in fast-paced Agile/Scrum delivery.

Preferred candidate profile

What Were Looking For:

• We are seeking an experienced, proactive QA Engineer to take complete ownership of end-to-end data quality assurance across complex data pipelines and Master Data Management (MDM) ecosystems.
• In this role, you will operate as an independent contributor with strong client-facing capabilities, responsible for defining test strategies, validating data integrity across Snowflake warehouses, and ensuring seamless execution from source ingestion to consumption layers. You should excel at translating business logic into comprehensive test suites while communicating quality metrics clearly to technical and non-technical stakeholders.