Data and AI Engineer (Mid-Level)
Tasks
- Administer and monitor Azure SQL Databases
- Administer and monitor Microsoft Fabric
- Apply data governance naming conventions schema design access control
- Build and maintain ingestion pipelines
- Design and maintain curated data models
- Ensure data pipelines scheduled refreshes run reliably
- Implement monitoring alerting and cost optimization
- Maintain Power BI workspaces
- Manage security, permissions, and compliance
- Recommend automation and process improvements
- Stay current with Microsoft data platform capabilities
Perks/Benefits
- Dental insurance
- Employee stock ownership
- Health insurance
- Life insurance
- Long-term care insurance
- Vision insurance
Skills/Tech-stack
Access Control | Alerting | Apache Spark | Authentication | Authorization | Azure Data | Azure Data Factory | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Cost Optimization | Data Factory | Data Governance | Data Modeling | Data Pipelines | Data Security | DevOps | ELT | ETL | Git | Lakehouse | Microsoft Fabric | Monitoring | Power BI | Python | SQL | SQL Database | Snowflake Schema | Star Schema | Synapse Analytics
Education
Roles
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