Senior Analytics Engineer – dbt & Snowflake

• Top 3 skill sets/technologies required for qualification:

• o Strong hands-on experience with DBT development and testing.
• o Strong experience with Snowflake and SQL optimization.
• o GitHub
• Absolutely needs someone who can come in and hit the ground running - NO TRAINING and ready to deliver!

• Data Analytics Engineer – Data Modeling
• 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.
• Key Responsibilities
• • 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.
• Required Qualifications
• • 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
• • Azure Data Factory (ADF)
• • Python or Power Query
• • DP-203 or SnowPro certifications
• Ideal Candidate
• 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.