Live opening · Posted 6 hours ago

Snowflake Data Engineer | dbt | SQL | EDW

Tata Consultancy Services (TCS) · Bhubaneswar, Odisha, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanyTata Consultancy Services (TCS)
LocationBhubaneswar, Odisha, India (On-site)
Work modeNo
SkillsSQL, AWS, Azure, GCP, Power BI, Tableau
SourceLinkedin
ListedPosted 6 hours ago

About the role

Description supplied by the original job listing.

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.

Work arrangement
No

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