Job Description
Seeking a Manual & Automation QA Engineer with strong Capital Markets and Fixed Incom e expertise to drive functional,integration, end-to-end, and data quality testing across trading, post-trade, investment management, and data platforms. The role is responsible for ensuring application quality, data accuracy, business rule compliance, and regulatory adherence through manual testing, source-to-target validation, reconciliation, and automation-led regression testing. The ideal candidate will leverage Python/SQL-based automation frameworks, validate complex fixed-income and post-trade workflows, and collaborate closely with business and engineering teams to deliver high-quality, reliable solutions across legacy and modern technology environments.

Location:
Bangalore/Pune/Gurgaon

Experience:
5+ Years Key competencies
- Strong experience in Manual Testing methodologies and QA best practices
- Solid understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)
- Strong experience in test case design, defect management, and regression testing
- Deep domain knowledge of Capital Markets with expertise in Fixed Income products and workflows
- Experience validating trade lifecycle processes including order management, execution, allocations, settlements, and reporting
- Proficiency in leveraging AI-assisted tools (e.g., Claude, GitHub Copilot) to accelerate test case generation, requirement analysis, defect investigation, test documentation, and test data preparation
- Hands-on experience in Data QA, Data Engineering QA, or Python-based automation roles.
- Good Python skills for data validation, automation framework development, regression testing, and pipeline verification.




- Working knowledge of PySpark for validating large-scale data pipelines and distributed datasets.
- Good SQL skills for source-to-target validation, reconciliation, complex queries, stored procedures, schema checks, and defect analysis.
- Experience in data QA, ETL/ELT testing, data pipeline testing, and regression testing across legacy and modern platforms.
- Proven experience building automation-first regression frameworks, reusable validation scripts, test cases, and data verification utilities.
- Robust understanding of data quality dimensions including accuracy, completeness, consistency, timeliness, uniqueness, referential integrity, and business-rule conformance.
- Experience validating metadata, schema structures, data types, constraints, lineage, transformation logic, and downstream outputs.
- Exposure to CI/CD tools such as Azure DevOps, Jenkins, or GitLab, with the ability to integrate automated tests and quality gates into deployment pipelines.
- Familiarity with batch orchestration tools such as AutoSys, Control-M, or Airflow.
- Good analytical skills to understand post-trade, financial, market data, or reference data and translate them into repeatable validation scenarios.
- Experience with JIRA, XRay, agile delivery practices, defect management, and QA process governance.
- Proficiency in leveraging AI-assisted tools such as Claude or GitHub Copilot to accelerate test case generation, SQL development, data validation, defect analysis, documentation, and test data creation.
- Strong communication, problem-solving, attention to detail, and cross-functional collaboration skills. Skills & Requirements Manual Testing + Strong Capital Market & Fixed income domain Experience + Python automation background

📌 Manual+ QA Automation Engineer (Pune)
🏢 RapidBrains
📍 Pune