Senior Data Engineer
Tasks
- Architect shared semantic models and datasets
- Build forecasting and statistical models
- Build scalable Power BI reporting solutions
- Collaborate on curated Databricks Gold datasets
- Create automated analytics workflows
- Design and develop Power BI semantic models
- Develop data quality checks across data layers
- Implement dataset governance practices
- Optimize Databricks and Power BI performance
- Perform code reviews and provide technical guidance
- Refactor reports to governed semantic models
- Write advanced SQL and DAX for business logic and metrics
Perks/Benefits
- 401k company match
- Associate discounts
- Dental insurance
- Health insurance
- Life insurance
- Mental health coverage
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
DAX | Data Governance | Data Quality | Databricks | Databricks Lakehouse | Databricks SQL | Dimensional Modeling | DirectQuery | Forecasting | Import | Lakehouse Architecture | Power BI | Power Platform | Python | Query Optimization | R | SQL | Statistical modeling
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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