TCS Face to Face Drive | Azure Data Engineer with Snowflake | Chennai | 5 to 12 years
Tata Consultancy Services TCS Face to Face Drive | Azure Data Engineer with Snowflake | Chennai | 5 to 12 years
Summary
TCS is hiring experienced Azure Data Engineers (5–12 years) in Chennai to design, build, and optimize cloud data pipelines. The core stack includes Azure Data Factory, Databricks, Snowflake, SQL, and PySpark/Spark/Scala, with delivery in Agile teams using Jira and Confluence.
🚀 TCS Face to Face Drive | Azure Data Engineer with Snowflake | Chennai | 5 to 12 years
Tata Consultancy Services (TCS) is hiring experienced Azure Data Engineers with Snowflake expertise for cloud data engineering opportunities.
Drive Date: 5th September 2026, Saturday
Job Locations: Chennai
Experience: 5 to 12 Years
Required Skills
Candidates should have hands-on experience in at least 3 of the following core skills:
✅ Azure Data Factory (ADF)
✅ Azure Databricks
✅ Snowflake Data Warehouse
✅ SQL Server
✅ PySpark
✅ Spark / Scala
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Azure Data Factory.
- Build processes supporting data transformation, data structures, metadata, dependencies, and workload management.
- Develop scalable solutions using Azure cloud-based relational and non-relational databases.
- Build data pipeline infrastructure for extracting, transforming, and loading data from multiple sources.
- Work with SQL, cloud databases, and scripting languages such as Python or Perl.
- Process and derive value from large and disconnected datasets.
- Automate manual processes and optimize data delivery.
- Redesign data infrastructure to improve performance and scalability.
- Troubleshoot data engineering and Azure cloud environment issues.
- Work effectively within an Agile project management environment.
Technical Requirements
- Advanced hands-on experience in building data pipelines using Azure Data Factory.
- Strong experience with Azure Databricks and Snowflake Data Warehouse.
- Advanced SQL knowledge with experience in relational and non-relational databases.
- Experience in data transformation, metadata management, dependency management, and workload management.
- Strong knowledge of PySpark, Spark, or Scala.
- Experience in developing ETL pipelines using SQL and scripting languages such as Python.
- Familiarity with Jira and Confluence.
- Experience working in an Agile project environment.
- Good understanding of cloud data migration and scalable data architecture.
⭐ Good to Have
- Experience in the financial services or banking industry.
- Exposure to cloud migration projects involving the movement of on-premises data storage to Microsoft Azure.