Data Integration Developer

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.

We are seeking a skilled Data Integration Developer to join our data engineering team.

You will be responsible for designing, developing, and maintaining robust data pipelines and infrastructure that ensure data quality, traceability, and compliance across our enterprise systems.

• Data Pipeline Development: Design and implement ETL (Extract, Transform, Load) solutions using industry-standard tools to move and transform data across systems
• Data Lineage & Governance: Document and maintain comprehensive data lineage to track data flow from source to destination, ensuring transparency and regulatory compliance