The Role. You will…
- Build data pipelines integrating brand catalog data with Archive
- Architect data models to drive performance metrics and business analytics
- Develop and deliver reporting practices to aid decision making for Archive and its partners
- Receive mentorship in our collaborative, engineering environment
The Stack. We use…
- Frontend: Next.js + React + Redux + Apollo Client (Typescript), Firebase Auth
- Backend: NodeJS (Typescript), Hasura GraphQL Engine, Python
- Database: PostgreSQL
- Infrastructure: AWS, Terraform, Vercel
Skills / Experience
- Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, and Data Science
- Proficiency working with large datasets using modern data languages and libraries (e.g. SQL, Python, Pandas, iPython Notebook, Spark)
- Experience with PostgreSQL or other relational databases
- Professional experience with data management systems and data warehouses
- Bonus: Experience with data visualization platforms and business intelligence tooling
Your Experience. You have…
- Proficiency working with large datasets using modern data languages and libraries (e.g., SQL, Python, Pandas, iPython Notebook, Spark)
- Experience with PostgreSQL (or similar relational database)
- Experience with data management systems or data warehouses
- Balanced complexity with sustainability and speed of delivery
- Bonus: Experience with any of the technologies in our stackBonus: Experience with data visualization or business intelligence tools
- Bonus: Experience in a technical, customer-facing role
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