Snowflake Data Engineer

Pantheon Inc

United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Adobe InDesign Data Analysis Business Intelligence Development Data Architecture Data Structures Data Warehousing Python (Programming Language) SQL Databases Azure Data Factory Sql Optimization Snowflake Powerquery

+2 more

Data Analytics Data Delivery

Job description

Design, develop, and maintain star-schema data models, including fact and dimension tables.

Build and support DBT models and testing frameworks to deliver trusted, analytics-ready datasets.
Develop, optimize, and troubleshoot data structures and SQL workloads in Snowflake.
Apply data modeling best practices and make informed decisions around dimensional design, normalization, and denormalization.
Partner closely with Data Engineers, BI Developers, Product Owners, and business stakeholders to translate requirements into scalable analytical solutions.
Participate in design discussions, knowledge sharing, and peer reviews to promote consistent modeling standards across the team.
Support data delivery from ingestion through transformation and into the semantic layer for reporting and analytics.
Document modeling decisions and collaborate with team members to continuously improve data architecture and engineering practices.

Requirements

We are looking for a hands-on Data Analytics Engineer with strong experience in DBT, Snowflake, and dimensional data modeling to help build and maintain the analytical foundation that supports enterprise reporting and analytics., A collaborative analytics engineer who enjoys working with teammates and stakeholders to transform complex source data into well-designed star-schema models using DBT and Snowflake, while contributing to a strong engineering culture and data modeling best practices, Strong hands-on experience with DBT development and testing.

Strong experience with Snowflake and SQL optimization.
Proven experience designing and implementing star-schema dimensional models.
Deep understanding of fact and dimension modeling and analytical data warehouse concepts.
Ability to work effectively in a collaborative, cross-functional team environment and communicate technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications: