Key Skills: PyTest, Data Validation, QA Python, Copilot, Automated Testing, SQL, Automation

Roles and Responsibilities:

- Establish and run QA CoE operating models, standards, and governance frameworks across programs.

- Drive governance cadence, reporting, and stakeholder visibility; manage risks, dependencies, and timely escalations.

- Lead, mentor, and develop QA engineers and analysts; foster a culture of excellence and accountability.

- Own data validation practices and ensure quality benchmarks are met through repeatable QA processes.

- Promote adoption of AI-driven solutions within QA workflows to improve testing efficiency and quality.

Skills Required:

- 7 - 11 years of relevant experience in QA engineering and test automation, including data validation.





- Python and QA automation/scripting with strong test engineering fundamentals.

- Pytest for building and maintaining automated test suites and frameworks.

- Data validation experience, including validation approaches for structured data.

- RESTful API testing using Python-based scripts and/or common API testing tools; robust SQL for DB validation.

Good to Have

- SQL and relational database experience, including writing/debugging stored procedures.

- Automation and automated testing experience with modular, scalable test frameworks.

Education: Bachelor's or master's degree in Computer Science, Engineering, or related field.

📌 Data QA Lead/Manager (Pune)
🏢 Careernet
📍 Pune