Role & responsibilities

- Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
- Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
- Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency
- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
- Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.

Must-Have:

- Strong experience in Snowflake,



SQL for data manipulation and engineering tasks.
- Solid Expertise in SQL and Snowflake architecture
- Experience in ETL tools Informatica / DBT
- Experience in one or more cloud platforms Preferably Azure /AWS/GCP
- In-depth knowledge of data warehousing concepts and experience in building and managing data warehouses.
- Knowledge in ETL concepts - needs to manage data migration into Snowflake. This includes extracting data from various sources, transforming it into a usable form, and loading it into the Snowflake platform.

📌 Snowflake DBT (Chennai)
🏢 Tata Consultancy Services
📍 Chennai