Related skills
bigquery redshift looker snowflake sql📋 Description
- Engineer and optimize ingestion of large data volumes into cloud data warehouses
- Work with a single enterprise client to understand their data needs
- Design scalable data models for analytical and operational goals
- Improve internal workflows and tooling to boost efficiency
- Guide technical and strategic data decisions as a client partner
🎯 Requirements
- 2–5 years of experience as a Data Engineer or Analytics Engineer with SQL and Python
- Designing, building, and maintaining cloud data warehouses (BigQuery, Snowflake, Redshift)
- Hands-on experience with GCP, including BigQuery
- Strong data modeling skills for analytical and operational use cases
- BI/visualization tools experience (Looker, Tableau)
- dbt or similar data transformation tools
🎁 Benefits
- See your work engage major brands like Google, Priceline, Costco.
- Spot bonuses for milestones and feature launches.
- Clear opportunities for career progression and cross-functional collaboration.
- Meaningful equity to share in the value you help create.
- Remote-first culture with teams across North America.
- Annual home office stipend to support your workspace.
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