Quality Assurance Automation Engineer

Job Description

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title: Python with ETL Testing(ETL Testing is also Mandatory), If no ETL experience, kindly don't apply. · Location: Chennai, Bangalore, Pune (Hybrid) · Experience: 5+ yrs · Job Type : Contract to hire. · Notice Period:- Immediate joiners. Mandatory Skills: Job Summary: We are looking for a skilled QA Engineer with expertise in Python-based automation testing and strong experience in ETL Testing . The ideal candidate will be responsible for designing and executing test plans to ensure data integrity, validate transformation logic, and automate testing pipelines in data-centric environments. Key Responsibilities: Develop and maintain automated test scripts using Python for data pipeline validation. Perform ETL testing to verify data extraction from source systems, transformation logic, and loading to data warehouses. Validate data integrity, data completeness, and business rules in staging and final datasets. Collaborate with Data Engineers, Analysts, and Developers to understand data flow and transformation logic. Implement unit, integration, and regression testing frameworks for ETL workflows. Troubleshoot and log defects, and verify fixes in subsequent releases. Use tools like PyTest , unittest , or Behave for automation; use SQL for data validation. Work with scheduling/orchestration tools such as Airflow , Informatica , Talend , or similar. Document test cases, results, and data validation processes for audit and quality assurance.