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Snowflake Data Engineer | dbt | SQL | EDW

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Onsite

Snowflake Data Engineer | dbt | SQL | EDW

Tata Consultancy Services

Snowflake Data Engineer | dbt | SQL | EDW

Skills

Google Cloud PlatformSQL QueriesTableauSnowflakeGitData AnalysisAWSdbtApache AirflowPower BIAzure

1 day ago

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Important information


Contract type:

Permanent

Location:

Bhubaneswar, Odisha, India

Work mode:

Onsite

Published on:

22 October 2026

What they need


Greetings from TCS!

Hiring: Snowflake Data Engineer

Role: Engineer

Experience: 8–10 years

Locations: Bangalore / Bhubaneswar (BBSR)

Primary Skills: Snowflake | dbt | SQL | EDW

Role Overview

We are looking for an experienced Snowflake Data Engineer with strong hands-on expertise in Snowflake, dbt, SQL, and Enterprise Data Warehousing (EDW) . The role involves designing, developing, and optimizing scalable data solutions and transformation pipelines for enterprise data platforms.

Key Responsibilities

  • Design, develop, and maintain scalable data solutions using Snowflake .
  • Build and maintain reusable data transformation models using dbt .
  • Develop complex SQL queries , stored procedures, views, and transformations.
  • Design and implement ETL/ELT pipelines supporting enterprise data warehouse solutions.
  • Work with EDW architecture , dimensional modeling, fact/dimension tables, and Star/Snowflake schemas.
  • Optimize Snowflake queries and workloads for performance and efficient resource utilization.
  • Implement data quality checks, reconciliation, validation, and testing.
  • Troubleshoot data pipeline and performance issues and perform root-cause analysis.
  • Follow version-control and CI/CD practices for data development and deployment.
  • Collaborate with engineering, analytics, BI, and business teams to deliver reliable data solutions.

Mandatory Skills

  • Strong hands-on experience with Snowflake .
  • Strong proficiency in SQL , including complex query development and performance tuning.
  • Hands-on experience with dbt , including models, tests, macros, and transformations.
  • Strong understanding of Enterprise Data Warehousing (EDW) concepts and architecture.
  • Experience developing ETL/ELT pipelines .
  • Strong understanding of data modeling and dimensional modeling .
  • Experience with data quality, validation, and reconciliation.
  • Familiarity with Git/version control and CI/CD practices.

Good to Have

  • Experience with Apache Airflow or similar orchestration tools.
  • Exposure to AWS, Azure, or GCP .
  • Knowledge of Snowflake capabilities such as Streams, Tasks, Time Travel, cloning, and role-based access control .
  • Exposure to BI/reporting tools such as Power BI or Tableau .

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