Related skills
bigquery redshift snowflake sql dbt📋 Description
- Design and maintain production data models (dbt) for incentives and lifecycle analytics.
- Model data from multiple systems and implement ELT in a cloud warehouse.
- Define KPIs for marketing; enable self-serve analytics with LookML.
- Set data quality standards with automated testing, lineage, and monitoring.
- Collaborate with Product, Marketing, and Engineering to deliver datasets for experimentation.
- Improve pipeline performance, reliability, and cost; drive CI/CD for analytics.
🎯 Requirements
- 4+ years in analytics or data engineering building production data models in the cloud.
- Advanced SQL proficiency with tuning in Snowflake, BigQuery, or Redshift.
- 2+ years implementing and maintaining dbt projects in production with Git workflows.
- ELT/ETL pipelines with Airflow or Dagster.
- Experience building semantic layers and BI models for self-serve analytics (Looker/LookML).
- Automated data quality testing and data observability; ownership of docs and lineage.
- Bachelor's degree in CS/Engineering/Math/Stats or equivalent.
- Cross-functional collaboration translating ambiguous requirements into scalable datasets.
🎁 Benefits
- Remote-first culture with Flex First policy.
- Equity grant and annual refresh grants.
- Competitive compensation and benefits.
- Canadians: eligible to work from Ontario, Alberta, BC, or Nova Scotia.
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