Quality Assurance Automation Engineer

Company Description Gyanindit Pvt. Ltd. is dedicated to the transformative power of knowledge and expertise, guided by the motto “Encouraging Empowerment.” The organization focuses on equipping individuals and organizations with the tools, resources, and guidance needed to achieve professional and personal goals. With a strong vision of helping people succeed through wide-ranging expertise, Gyanindit works to turn potential into performance. Its mission centers on enabling career growth, optimizing organizational capabilities, and leveraging technology to drive meaningful innovation.

📍 Location: Ahmedabad / Hyderabad (Work From Office)

💼 Experience: 3–5 Years

💰 CTC: ₹10–12 LPA

🕒 Notice Period: Immediate to 15 Days

📌 Openings: 2

We are looking for skilled QA Automation Engineers with strong expertise in Python, PyTest, SQL, and ETL Testing to join our growing QA team. The ideal candidate should have hands-on experience in automation testing, data validation, and ensuring software quality across modern CI/CD pipelines.

• Design, develop, and maintain automated test scripts using Python and PyTest.
• Perform ETL testing and validate data accuracy across databases.
• Write and execute SQL queries for data validation and testing.
• Create well-structured, reusable, and maintainable test cases.
• Work with GitHub Actions or similar CI/CD pipelines for automated test execution.
• Collaborate with developers and stakeholders to ensure high-quality software releases.
• Maintain test cases and execution reports using TestRail or similar test management tools.

• 3–5 years of experience in QA Automation.
• Strong programming experience in Python.
• Hands-on experience with PyTest.
• Strong SQL skills for database testing and data validation.
• Experience in ETL Testing and Data Warehousing.
• Experience with GitHub Actions or other CI/CD tools.
• Experience in writing effective test cases and test scenarios.
• Familiarity with TestRail or similar test management tools.
• Good understanding of software testing methodologies and QA best practices.

• Experience with AWS, Azure, or GCP.
• Knowledge of Docker and Kubernetes.
• Experience with Apache Spark or Apache Airflow.
• Exposure to Agile/Scrum methodologies.
• Experience with Performance or Load Testing tools.

• Technical Interview (Python Coding & SQL Assessment)
• Practical Assessment (ETL Test Case Writing)
• Tool Knowledge Evaluation (PyTest & CI/CD)
• Behavioural Discussion