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Tier-1 brand and metro location, but senior niche QA/data leadership limits applicant density.
Requires deep QA, data warehouse/ETL and regulated financial experience, limiting cross-industry transferability.
Explicit 20+ years plus mandatory QA/data platform, ETL and tooling experience makes filters very strict.
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Lead and develop a high-performing QA team supporting enterprise data engineering initiatives, including coaching and performance management.
Define and maintain test strategy, plan testing activities, and oversee quality execution (functional, regression, UAT) for data and platform deliveries.
Partner with stakeholders for release planning, risk communication, and drive automation and process improvements in a regulated, fast-paced environment.
20+ years overall experience with significant Quality Engineering experience in Data Warehouse, ETL, or enterprise data platforms.
Proven experience leading QA teams and managing test strategy and release readiness in Agile environments.
Technical knowledge of SQL, Python, Unix/shell scripting, cloud technologies (GCP), DevOps and CI/CD tools (Bamboo, Bitbucket, GitHub), and QA automation practices.
Work Experience Required: 20+ years; Location: Hyderabad, Telangana, India (onsite implied).
Experienced leader able to manage multiple projects and competing priorities with strong operational discipline and accountability.
Demonstrated ability to influence and collaborate with cross-functional teams including product, engineering, and business stakeholders.
Expertise in data engineering QA, with hands-on understanding of ETL tools (IICS, PowerCenter), Agile delivery tools (Jira, Rally), and advanced QA/testing methodologies.