The primary responsibility of this position is to manage our data warehouse and the pipelines that feed to/from that warehouse. This requires advanced knowledge of our systems, processes, data structures, and existing tooling. The secondary responsibility will be administering our production OLTP database to ensure it runs smoothly and using standard/best practices.
The ideal candidate for this position is someone who is extremely comfortable with the latest technology, trends, and favors concrete execution over abstract ideation. We are proudly impartial when it comes to solutions – we like to try new things and the best idea is always the winning idea, regardless of the way we’ve done it previously.
This is a full-time work-from-home position.
The following characteristics are necessary for a qualified applicant to be considered:
3+ years of experience working with data warehouses (BigQuery preferred, Redshift, Snowflake, etc)
3+ years of experience working with dbt, ETL (Fivetran, Airbyte, etc), and Reverse ETL (Census) solutions
3+ years of experience with Database Administration (Azure SQL, Query Profiler, Redgate, etc)
1+ years of experience with BI/Visualization tools (Google Data/Looker Studio, Tableau, etc)
Experience with PubSub databases, specifically Google Cloud Firestore and Firebase Realtime Database
Experience with Github (or other similar version control systems) and CI/CD pipeline tools like Azure Devops and Github actions
Ability to communicate fluently, pleasantly, and effectively—both orally and in writing, in the English language—with customers and co-workers.
Concrete examples and evidence of work product and what role the applicant played in it
The following characteristics are not necessary but are highly desired:
Experience with Kubernetes, C#, TypeScript, Python
Bachelor's degree or higher in computer science or related technical field
Ability to contribute to strategic and planning sessions around architecture and implementation
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