Data QA – Python SQL Automation (Selenium)

We are seeking a skilled Data QA Engineer with strong experience in Python scripting, SQL querying, and Automation testing using Selenium. The ideal candidate should have a passion for data validation, automation frameworks, and quality assurance processes across ETL pipelines and data platforms.

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Key Responsibilities:

• Design, develop, and execute automated tests using Python and Selenium for data-intensive applications.
• Write complex SQL queries to validate large datasets, perform data integrity checks, and ensure ETL accuracy.
• Develop and maintain automation frameworks for API and UI testing.
• Perform functional, regression, integration, and system testing for data and analytics platforms.
• Collaborate closely with Data Engineers, Developers, and Business Analysts to understand data flows and requirements.
• Identify, log, and track defects using tools like JIRA or similar.
• Provide clear and concise QA documentation, including test plans, test cases, and test results.
• Participate in Agile ceremonies including daily stand-ups, sprint planning, and retrospectives.

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Required Skills:

• Minimum 3 years of experience in QA/testing roles with a strong focus on data validation and automation.
• Proficiency in Python for scripting and automation.
• Strong hands-on experience with SQL (joins, subqueries, stored procedures) for data verification.
• Practical experience in Selenium WebDriver for browser-based test automation.
• Experience working with ETL pipelines and validating data movement across systems.
• Familiarity with CI/CD tools (e.g., Jenkins, Git) and test management tools (e.g., JIRA, TestRail).
• Good understanding of Agile methodology and QA best practices.