Senior Business Intelligence and Analytics Engineer
Tasks
- Build DataOps pipelines
- Build dashboards and ad hoc analyses
- Collaborate with data and machine learning engineers
- Create reverse ETL flows
- Define data expectations and governance
- Ensure data quality and freshness
- Integrate new data sources
- Optimize data stack for stakeholder needs
- Train cross functional teams on data use
Perks/Benefits
- 401k with employer matching
- Company offsite
- Employee wellness
- Free therapy
- Hardware or software reimbursement
- Health, dental, vision coverage
- Holistic perks program
- Remote work
- Travel to office up to three times per year
Skills/Tech-stack
Airflow | Command Line | Command-line Interface | DBT | Data Catalog | Data Governance | Data Modeling | Data Quality | Data Vault | DataOps | Dimensional Modeling | Docker | Docker Compose | Fivetran | Git | Kimball | Kubernetes | Looker | OLAP | Python | Reverse ETL | SQL | Snowflake
Education
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