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Mid-level, popular Data Engineer role with common Snowflake/dbt skills increases applicant density.
Specialized Snowflake/dbt skills are transferable across industries but favor data engineering backgrounds.
Requires 5+ years plus mandatory Snowflake and dbt expertise, enforcing strict technical filters.
Design, develop, and optimize scalable ELT data pipelines and data models mainly using Snowflake and dbt.
Implement and maintain reusable dbt components such as models, macros, tests, snapshots, and incremental models to ensure reliable data transformation.
Collaborate with cross-functional teams to deliver high-quality, governed data products and support CI/CD and automated deployment for dbt projects.
5+ years of experience in Data Engineering with significant hands-on expertise in Snowflake and dbt.
Strong advanced SQL skills with query optimization experience.
Proficiency in data warehousing concepts including dimensional modeling, fact/dimension tables, slowly changing dimensions (SCD).
Experience with Git and CI/CD development practices.
Experienced in building and optimizing ELT pipelines with modern data warehouse best practices in cloud environments.
Comfortable with automation, debugging, and implementing data quality, testing, monitoring, and documentation frameworks.
Skilled at collaborating across data engineering and business teams to deliver performant, governed data solutions using Snowflake and dbt ecosystems.