Snowflake Data Engineer

CTG

On-sitePosted July 25, 2026

About the role

CTG is seeking a skilled Snowflake Data Engineer to join our client's growing data engineering team. This role is ideal for a data professional with deep Snowflake expertise who enjoys designing scalable cloud data warehouses, building high-performance ELT pipelines, and delivering reliable data solutions that power enterprise analytics. You will collaborate with cross-functional teams to develop secure, optimized, and scalable data platforms in a cloud environment.

Snowflake Data Engineer

CTG

On-sitePosted July 25, 2026

About the role

CTG is seeking a skilled Snowflake Data Engineer to join our client's growing data engineering team. This role is ideal for a data professional with deep Snowflake expertise who enjoys designing scalable cloud data warehouses, building high-performance ELT pipelines, and delivering reliable data solutions that power enterprise analytics. You will collaborate with cross-functional teams to develop secure, optimized, and scalable data platforms in a cloud environment.

Type: Ongoing Contract

Responsibilities

Design, develop, and optimize cloud-native data warehouses using Snowflake.
Build, maintain, and enhance scalable ELT data pipelines for structured and semi-structured data.
Configure and administer Snowflake features including virtual warehouses, stages, Snowpipe, streams, and tasks.
Develop optimized SQL queries, stored procedures, views, and User-Defined Functions (UDFs).
Design dimensional data models using Star and Snowflake schemas.
Monitor and optimize platform performance through query tuning, clustering keys, materialized views, and result caching.
Implement security and governance using RBAC, data masking, and row- and column-level security.
Develop transformation workflows using dbt and/or Snowpark with Python or Java.
Collaborate with business stakeholders, data architects, and analytics teams to translate business requirements into scalable data solutions.
Ensure data quality, governance, reliability, and adherence to enterprise best practices.
Participate in Agile development activities including sprint planning

Responsibilities

Design, develop, and optimize cloud-native data warehouses using Snowflake.
Build, maintain, and enhance scalable ELT data pipelines for structured and semi-structured data.
Configure and administer Snowflake features including virtual warehouses, stages, Snowpipe, streams, and tasks.
Develop optimized SQL queries, stored procedures, views, and User-Defined Functions (UDFs).
Design dimensional data models using Star and Snowflake schemas.
Monitor and optimize platform performance through query tuning, clustering keys, materialized views, and result caching.
Implement security and governance using RBAC, data masking, and row- and column-level security.
Develop transformation workflows using dbt and/or Snowpark with Python or Java.
Collaborate with business stakeholders, data architects, and analytics teams to translate business requirements into scalable data solutions.
Ensure data quality, governance, reliability, and adherence to enterprise best practices.
Participate in Agile development activities including sprint planning

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