Description
The Analytics Engineer will build and own the transformation layer for a modern analytics platform, including Snowflake data models, dbt facts and dimensions, legacy-report migration, data quality testing, diverse-source integration, and a governed semantic layer for self-service and AI-ready analytics. The role requires strong SQL, hands-on dbt experience, cloud-warehouse familiarity, Git/GitHub collaboration, and disciplined documentation and testing; AI-assisted development is used but the engineer must critically review and own every output.
