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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end test planning, execution, and delivery of data validation and regression testing for capital markets data pipelines.
Manage and mentor distributed QA teams across onshore and offshore locations, including resource planning and governance.
Build and maintain automation frameworks using Python, PySpark, and SQL; integrate testing and quality gates into CI/CD pipelines.
Minimum Requirements
8–12 years of experience in Data QA, Data Engineering QA, or Python-based automation with proven leadership in test delivery.
Strong Python, PySpark, and SQL skills, including complex queries and stored procedures.
Experience with CI/CD integration using Azure DevOps, Jenkins, or GitLab; familiarity with batch orchestration tools like AutoSys.
Domain experience in Fixed Income Capital Markets including understanding of products, trade lifecycle, and related data sets.
Ideal Candidate Profile
Experienced in leading complex data validation and QA programs within capital markets domains, especially post-trade and reference data.
Hands-on with building automation-first regression frameworks and reusable validation scripts for large-scale data pipelines.
Skilled at cross-functional collaboration with business and technology teams, managing distributed QA teams in Agile delivery environments.