Back
Strong global brand, common QA lead title, and metro location increase candidate density.
Automation, Python, API, and data validation skills are broadly transferable across industries.
Explicit 8+ years plus mandatory Python, API, SQL, cloud, and CI/CD skills make shortlisting stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain automated test frameworks and test suites using Python for UI, API, data validation, and performance testing.
Validate high-volume datasets, data pipelines, and ETL workflows through automated quality checks and anomaly detection.
Collaborate with cross-functional agile teams to ensure test coverage, support release readiness, and contribute to quality engineering best practices.
Bachelor's or master's degree in Computer Science, Information Systems, Engineering, or equivalent.
Minimum 8 years hands-on Quality Engineering experience including test automation framework development.
Strong skills in Python scripting, API testing (REST/GraphQL), test automation tools (PyTest, Robot, Playwright/Selenium, Postman), SQL & NoSQL databases, and cloud platforms (AWS, Azure, or GCP).
Experience with CI/CD pipelines (Git, GitHub Actions, Azure DevOps, Jenkins) and validating microservices, distributed systems, and data workflows.
Experienced in handling quality engineering in agile environments with large-scale, data-rich applications and modern tech stacks.
Proficient in driving automation strategies and collaborating in architectural and design discussions focused on quality.
Familiar with data engineering processes, cloud infrastructures, and capable of working closely with developers, product managers, and designers.