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TCS Face to Face Drive | Snowflake Data Engineer | Chennai | 5 to 10 Years

TCS Face to Face Drive | Snowflake Data Engineer | Chennai | 5 to 10 Years

Tata Consultancy Services
5-10 Years
Not Disclosed
Early Applicant
  • Posted 28 days ago
  • Be among the first 10 applicants

Job Description

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

More Info

Job Type:
Industry:
Employment Type:

Key Skills

Tasks

ETL ELT Development

Azure Data Lake Storage ADLS Gen2

Azure Data Factory ADF

Performance Tuning Optimization

Snowflake Data Warehouse

CI CD practices

MERGE Operations