Senior Data Engineer
Tasks
- Act as intake point for analytics data requests
- Build dbt models
- Coach teams on data products
- Communicate tradeoffs and delivery timelines
- Define data ingestion modeling standards
- Define primary company KPIs
- Design and maintain analytics data marts
- Enforce data testing documentation and consumption
- Implement data quality testing freshness checks
- Maintain snowflake data warehouse
- Manage Fivetran ingestion pipelines
- Monitor Snowflake usage and costs
- Optimize warehouse design clustering materialization compute usage
- Own analytics data platform
- Partner with domain experts on metrics
- Prioritize stakeholder analytics requests
Perks/Benefits
- Career growth
- Health and family benefits package
- Remote work within commuting distance of Toronto
- Startup perks
- Work-life balance
Skills/Tech-stack
Analytics engineering | BI tools | Clustering | DBT | Data Modeling | Data Quality | Data Testing | Data Warehousing | Data freshness | Dimensional Modeling | Fivetran | Materialization | Metric governance | Schema management | Snowflake
Education
N/A
Roles
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