TCS Face to Face Drive | Snowflake Data Engineer | Chennai | 5 to 10 Years
Tata Consultancy Services TCS Face to Face Drive | Snowflake Data Engineer | Chennai | 5 to 10 Years
Summary
TCS is holding a face-to-face hiring drive in Chennai for Snowflake Data Engineers with 5-10 years of experience. The role involves designing, building, and optimizing ETL/ELT data pipelines using Snowflake and Azure services (ADF, ADLS Gen2), including Snowpipe, Streams/Tasks, and performance tuning.
🚀 TCS Face to Face Drive | Snowflake Data Engineer | Chennai | 5 to 10 Years
Tata Consultancy Services (TCS) is hiring experienced Snowflake Data Engineers for our Chennai location.
Drive Date: 5th September 2026 (Saturday)
Location: Chennai
Experience: 5 to 10 Years
Required Skills
Candidates should have hands-on experience in at least 3 of the following core skills:
✅ Snowflake Data Warehouse
✅ Azure Data Factory (ADF)
✅ Azure Data Lake Storage (ADLS Gen2)
✅ SQL
✅ ETL / ELT Development
Key Responsibilities
- Design, develop, and maintain end-to-end ETL/ELT pipelines using Snowflake and Azure technologies.
- Build and optimize data ingestion frameworks from ADLS Gen2 to Snowflake.
- Implement data loading solutions using Snowpipe, COPY INTO, Storage Integrations, and External/Internal Stages.
- Develop incremental data processing solutions using Streams, Tasks, and MERGE operations.
- Create and maintain scalable data models, views, stored procedures, and SQL scripts.
- Optimize Snowflake warehouse performance, query execution, and storage utilization.
- Collaborate with business stakeholders, BI teams, and data architects to deliver analytics solutions.
- Implement security and governance practices including RBAC, Time Travel, and Zero-Copy Cloning.
- Monitor data pipelines, troubleshoot production issues, and perform root cause analysis.
- Follow best practices for DevOps, CI/CD, data quality, and documentation.
Technical Requirements
- Strong expertise in Snowflake Data Warehouse.
- Hands-on experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS Gen2).
- Strong proficiency in SQL and Data Warehousing Concepts.
- Experience in ETL/ELT Development and cloud-based data migration.
- Working knowledge of Snowpipe, Streams & Tasks, MERGE Operations.
- Experience with Azure Cloud Services.
- Strong understanding of Performance Tuning & Optimization.
- Familiarity with Git / Azure DevOps and CI/CD practices.
⭐ Preferred Skills
- Python
- PySpark
- Databricks
- dbt (Data Build Tool)
- Power BI
- Data Modeling
- Agile Methodology