Analytics Engineer
Core
Build and maintain scalable data models and dbt pipelines to power analytics and data science across the business.
Role type
Analytics Engineer
Builds
Data warehouse schemas, dbt models, and a Semantic Layer for metrics
Domain
EdTech / AI upskilling platform
Deliverable
production ML models | product features
Required skills
complex SQL, data modelling (Kimball/dimensional), dbt, version control (GitHub), query optimization
Preferred skills
Snowflake, Semantic Layers (Looker, Cube), CI/CD, Python/Airflow, data visualization (Tableau, Looker), infrastructure-as-code (Terraform)
Technologies
dbt, Snowflake, GitHub, Terraform, Looker, Cube, Tableau, Airflow
Responsibilities
Build and maintain dbt models to transform raw data; Design and implement data warehouse schemas; Implement dbt tests for data quality; Optimize dbt models and SQL queries for performance; Expose models and metrics via the Semantic Layer; Participate in code reviews
Seniority
Mid-level, hands-on IC
