Tasks:
- * Apply generative AI to data workflows
- * Automate data lifecycle processes
- * Build data quality and observability mechanisms
- * Define analytics engineering standards
- * Ensure data governance and reliability
- * Improve dbt tooling and developer experience
- * Lead shared analytics platform architecture
- * Mentor engineers through code reviews and pairing
- * Optimize platform cost and performance
Perks/Benefits:
- + Home office
- + Remote work
Skills/Tech stack required:
[Analytics pipeline] [Analytics pipeline development] [Apache Airflow] [Asset bundles] [Automated testing] [CI/CD] [Code review] [Databricks] [Databricks (asset)] [Databricks Asset Bundles] [Data Cataloging] [Data Documentation] [Data Governance] [Data Observability] [DBT] [Dimensional Modeling] [FinOps] [Git] [GitHub] [Pipeline Development] [Python] [SQL] [Terraform] [Unity Catalog]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Analytics] [Analytics Engineer] [Analytics Engineering] [Analytics Engineering Lead] [Data Engineering] [Data Engineering Lead] [Engineer] [Engineering Lead] [Lead]