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 worlds 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.

Job Description :-

We are seeking a highly skilled Data & AI Engineer with expertise in Snowflake, SQL, Python, Cloud Technologies, and AI‑powered development tools.



The ideal candidate will have hands‑on experience designing and implementing scalable data solutions, developing data pipelines, and leveraging modern AI platforms such as Claude and Microsoft Copilot to enhance productivity, automation, and business outcomes.

Key Responsibilities

• Design, develop, and optimize data solutions using Snowflake as the primary cloud data platform.
• Create and maintain complex SQL queries, stored procedures, views, and data models to support reporting and analytics needs.
• Develop scalable data processing, automation, and integration solutions using Python.
• Build and manage cloud‑based data architectures, ensuring reliability, security, and performance.
• Collaborate with business and technology teams to gather requirements and deliver data‑driven solutions.
• Utilize AI technologies, including Claude and Microsoft Copilot, to accelerate development, automate workflows, improve code quality, and enhance knowledge management.
• Implement best practices for data governance, data quality, security, and performance optimization.
• Troubleshoot and resolve data‑related issues while continuously improving existing processes and solutions.
• Stay current with emerging cloud, data engineering,
  
  
  
  and AI technologies to drive innovation and operational efficiency.

Required Skills & Experience

• Strong experience with Snowflake Data Warehouse and related data engineering concepts.
• Advanced proficiency in SQL for data extraction, transformation, optimization, and analysis.
• Strong programming skills in Python for data processing, automation, scripting, and API integrations.
• Experience working with Cloud Platforms such as AWS, Azure, or Google Cloud.
• Knowledge of AI/Generative AI technologies and practical experience using tools such as Claude and Microsoft Copilot.
• Understanding of data warehousing, ETL/ELT processes, data modeling, and analytics solutions.
• Strong analytical, problem‑solving, and communication skills.
• Experience working in Agile development environments is preferred.

Preferred Qualifications

• Experience integrating AI capabilities into business or data engineering workflows.
• Familiarity with machine learning, LLMs, prompt engineering, or AI‑assisted software development.
• Relevant certifications in Snowflake, Cloud Platforms, or AI technologies are a plus.

Role Summary:

The position requires a technology professional who can combine robust data engineering expertise with modern AI‑enabled development practices to deliver scalable, secure, and innovative data solutions that drive business value.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2‑week period. We invite you to continue to apply for other opportunities that match your profile.