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Snowflake Data Engineer

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Onsite

Snowflake Data Engineer

Tata Consultancy Services

Snowflake Data Engineer

Skills

SQL QueriesSnowflakeData AnalysisAWSdbtGitHubAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


Greetings!

TCS India presents excellent opportunities for IT professionals.

Role :-Snowflake Data Engineer

Experience:- 7-11 years

Location:- Bangalore, BBSR

Required Technical Skill Set:-Snowflake, DBT , PL/SQL , Azure/AWS Overall Knowledge , Knowledge on DB Modelling , Knowledge on Data Warehouse concepts , Well versed with Agile Delivery

Must-Have Snowflake, DBT , PL/SQL , Azure/AWS Overall Knowledge , Knowledge on DB Modelling , Knowledge on Data Warehouse concepts , Well versed with Agile Delivery, ETL Tools Informatica/ADF

Good-to-Have Azure 900/104/204 Certified, Informatica/SSIS/ADF

Responsibility of / Expectations from the Role

  • Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.
  • Profound experience in designing and developing data integration solutions using ETL tools such as DBT.
  • Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory
  • Solid MS SQL Server skills including reporting experience.
  • Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.
  • Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.
  • Ensuring root cause resolution to identified problems.
  • Monitor and support the Data Solutions jobs and processes to meet the daily SLA.
  • Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.
  • Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.
  • Follow best practices and standards around data governance, security and privacy.
  • Comfortable working in a fast-paced team environment coordinating multiple projects.
  • Effective software development life cycle management skills and experience with GitHub
  • Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.
  • Data transformation and Data Analytics Documentation

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