Senior Data Engineer.
What you will be doing
We are seeking experienced Data Engineers to develop and deliver robust, cost-efficient data products that power analytics, reporting and decision-making across two distinct brands.
- Build highly consumable and cost-efficient data products by synthesizing data from diverse source systems.
- Ingest raw data using Fivetran and Python, staging and enriching it in BigQuery to provide consistent, trusted dimensions and metrics for downstream workflows.
- Design, maintain, and improve workflows that ensure reliable and consistent data creation, proactively addressing data quality issues and optimizing for performance and cost.
- Develop LookML Views and Models to democratize access to data products and enable self-service analytics in Looker.
- Deliver ad hoc SQL reports and support business users with timely insights.
- (Secondary) Implement simple machine learning features into data products using tools like BQML.
- Build and maintain Looker dashboards and reports to surface key metrics and trends.
- Build highly consumable and cost-efficient data products by synthesizing data from diverse source systems.
- Ingest raw data using Fivetran and Python, staging and enriching it in BigQuery to provide consistent, trusted dimensions and metrics for downstream workflows.
- Design, maintain, and improve workflows that ensure reliable and consistent data creation, proactively addressing data quality issues and optimizing for performance and cost.
- Develop LookML Views and Models to democratize access to data products and enable self-service analytics in Looker.
- Deliver ad hoc SQL reports and support business users with timely insights.
- (Secondary) Implement simple machine learning features into data products using tools like BQML.
- Build and maintain Looker dashboards and reports to surface key metrics and trends.