Data Engineer
Tasks
- Administer and optimize SQL data objects
- Build ETL pipelines
- Build and maintain Power BI semantic models
- Design and implement Azure data assets
- Gather requirements test and perform QA with stakeholders
- Integrate external APIs and applications
- Leverage Microsoft Fabric for analytics workflows
- Monitor troubleshoot and improve pipeline reliability cost and performance
- Optimize ERP data structures and ETL services
- Prepare data for use with AI tools
Perks/Benefits
- Dental insurance
- Disability coverage
- Educational assistance
- Flexible spending accounts
- Health savings accounts
- Life and A&D insurance
- Medical insurance
- Paid vacations and holidays
- Profit sharing
- Retirement savings
- Vision coverage
- Well-being program
Skills/Tech-stack
Airflow | Azure | Azure Data | Azure Data Factory | Bash | DAX | Dagster | Data Factory | Data Lake | Data Modeling | Data Warehouse | ETL | Git | GitHub | Indexing | Integration Services | JSON | Linux | Microsoft Fabric | OAuth2 | OData | Oracle | PL/SQL | Partitioning | Power BI | Prefect | Python | Query Optimization | REST API | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | T-SQL | Window Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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