TCS Face to Face Drive | Azure Data Engineer with Snowflake | Chennai | 5 to 12 years

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.