QA Automation

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Role Description:
QA (Automation QA Automation Tester – Selenium, Java & JavaScript
QA Automation Engineer (Data Flow Testing) Experience:  years (Automation + Data Validation) Role Summary We are looking for an experienced QA Automation Engineer with strong expertise in data validation and ETL testing. The role focuses on ensuring accuracy and integrity of complex data pipelines, financial data flows, and system integrations across platforms like SAP and data warehouses

Key Responsibilities

• Design and develop automated test frameworks for UI, API, and data validation

Perform end-to-end data reconciliation across source, transformation, and target systems

• Validate ETL/ELT pipelines, data warehouse outputs, and financial data flows

• Write complex SQL queries for data comparison, aggregation, and variance analysis

• Automate regression and integration test suites and integrate with CI/CD pipelines

• Execute API testing and validate backend services

• Identify, log, and track defects; perform root cause analysis

• Collaborate with developers, data engineers, and business teams in Agile delivery

• Execution of Airflow DAGs

Required Skills

• Automation tools (Selenium / Playwright / Cypress)

• Programming (Java / Python / JavaScript)

• Advanced SQL skills

• ETL/Data testing and data warehousing concepts

• API testing (Postman / RestAssured)

• CI/CD tools (Azure DevOps / Jenkins)

• Cloud data platforms (BigQuery / Snowflake / Azure)

• Airflow DAGs Preferred Experience

• Financial/accounting data validation

• SAP / OneStream / ERP systems

• Retail or Finance domain

• Data quality tools/frameworks