QA Engineer

About The Role

Data Testing, UI Testing, and Automation

Big Data projects (Azure DBT, MSBI, etc.)

AI-driven testing approaches

Key Responsibilities

• Design, develop, and execute test plans and test cases for data, UI, and automation projects.
• Work on database testing with strong SQL queries, stored procedures, and data validation.
• Perform ETL testing and validation of Big Data workflows (Azure DBT, MSBI).
• Build and maintain automation scripts (Selenium, Java, Python, or equivalent).
• Contribute to AI-driven testing initiatives (Vibe Coding, Cursor, etc.).
• Collaborate with developers, business analysts, and QA teams to ensure quality deliverables.
• Log, track, and manage defects using industry-standard tools (JIRA, ALM, etc.).
• (For QA Lead): Manage and mentor QA teams, plan QA strategy, and handle stakeholder communication.
  

Required Skills

• Strong knowledge of QA processes and software testing lifecycle.
• Hands-on in Data Testing, UI Testing, and Automation Testing.
• Proficiency in SQL / Database Testing.
• Experience with Big Data / Azure DBT / MSBI projects (preferred).
• Familiarity with automation frameworks (Selenium, TestNG, JUnit, PyTest).
• Exposure to AI-driven testing tools is a plus.
• Excellent communication and problem-solving skills.
  

Experience Levels

• QA Lead: 8+ years (with team management and leadership experience).
• Sr. QA: 5–8 years (independent execution of QA projects, advanced testing skills).
• QA Engineer: 2–4 years (hands-on tester with willingness to learn advanced tools).