About the role
Develop and optimize dbt infrastructure, implement scalable data models, and ensure consistent business logic.
- •Develop and optimize dbt infrastructure, implement scalable data models, and ensure consistent business logic.
- •Key Responsibilities Design and maintain transformations for accurate, scalable datasets.
- •Serve as the Architect for our dbt project, evolving the architecture and design patterns.
- •Standardize metrics across BI tools to drive seamless self-service analytics.
- •Provide guidance and code reviews to analysts and analytics engineers.
- •Integrate AI-assisted workflows into the development lifecycle.
- •Requirements 5+ years as an analytics engineer, data engineer, or business intelligence engineer.
- •Advanced proficiency in SQL and data modeling.
- •Proficiency in leveraging AI coding assistants to accelerate dbt development.
- •Experience with Fivetran, BigQuery, dbt, Github, Airflow, Looker, or their equivalents.
Tech stack
SQLFivetranBigQuerydbtAirflowLooker
Match insights
Tech:SQL, Fivetran, BigQuery, dbt, Airflow
Level:Senior