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Senior Analytics Engineer

IroncladContract Lifecycle company
San FranciscoSenior
Data & AI

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.
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Tech stack

SQLFivetranBigQuerydbtAirflowLooker

Match insights

Tech:SQL, Fivetran, BigQuery, dbt, Airflow
Level:Senior

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