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Job Description
Structured overview of role & requirementsAbout This Role
Own daily operational support and readiness of end-to-end QA database and cache environments across multiple platforms ensuring environment stability and reliability.
Manage test data readiness including synthetic data generation, seeding, validation, and environment consistency for QA workflows and automation.
Lead the design, deployment, and governance of a unified data platform supporting automation, self-service data provisioning, and integration with CI/CD pipelines.
Minimum Requirements
Minimum 10 years of experience as a Database Analyst supporting QA, UAT, integration, or other non-production environments.
Strong SQL skills and practical experience with at least two of the following: SQL Server, Oracle, Postgres, Cosmos DB, Snowflake, RocksDB, or Redis.
Experience with synthetic test data generation and data shape simulation techniques for QA test datasets.
Familiarity with cloud environments (Azure), Kubernetes, data pipelines, CI/CD integration, and test data management concepts.
Ideal Candidate Profile
Experienced in supporting QA-focused database environments including incident triage, environment parity, and data stewardship for test readiness.
Skilled in designing reusable data services and enabling autonomous, data-driven test automation workflows in complex, multi-platform environments.
Comfortable working cross-functionally with QA, Development, Release Management, and Platform teams to maintain environment consistency and data security compliance.
