Clinical Data Engineer (Application Engineer)
Tasks
- Build and publish data models and ETL processes
- Deploy warehouse content using Azure DevOps
- Design and develop ETL pipelines
- Develop clinical data models
- Develop data feeds with SSIS
- Document warehouse content
- Implement data quality controls
- Manage project timelines and risks
- Recommend improvements to ETL processes and monitoring
- Track issues in Jira Service Desk and triage to resolution
- Troubleshoot ETL failures and data anomalies
Perks/Benefits
- Childcare service discounts
- Employee assistance program
- Employee discounts
- Healthcare
- Paid Holidays
- Pension plans
- Sick leave
- Term life insurance
- Transit discounts
- Tuition reimbursement
- Vacation
Skills/Tech-stack
Azure DevOps | Data Catalog | Data Engineering | Data Governance | Data Lakehouse | Data Quality | Data Warehouse | Data Warehousing | Dimensional Modeling | ETL | Epic Caboodle | Epic Caboodle Console | Integration Services | Jira | Jira Service | Jira Service Desk | Lakehouse | Metadata | Microsoft Fabric | Notebooks | OneLake | PySpark | Python | SDLC | SQL Server | SQL Server Integration Services | SQL Server integration | SSIS | Server Integration Services | Service Desk | T-SQL | Version control
Education
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