Senior Data Engineer - Managed Services
Tasks
- Analyze and resolve data platform incidents
- Build star schema data models for Power BI
- Collaborate with stakeholders to align solutions to needs
- Communicate ticket status and escalate cases
- Configure administer and tune client data environments
- Consult develop and advise on Azure data solutions
- Create and maintain client documentation
- Design and deploy data pipelines and models
- Develop Power BI dashboards and reports
- Develop Power BI reports and models
- Import data from multiple sources
- Promote data engineering best practices
- Support Azure data platform escalations
- Troubleshoot client issues with follow up
Perks/Benefits
- 401k match
- Dental coverage
- Dependent care FSA
- Disability insurance
- Employee assistance program
- Flexible remote work
- Health savings account
- Healthcare FSA
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Tech and home office allowance
- Vision coverage
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure SQL | Azure SQL Data | Azure SQL Data Warehouse | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Lake | Data Warehouse | Databricks | ITIL | Integration Services SSIS | Microsoft Azure | Power Automate | Power BI | Power Query | Reporting Services (SSRS) | SQL Data Warehouse | SQL Server | SQL Server Analysis | SQL Server Analysis Services | SQL Server Analysis Services SSAS | SQL Server Integration Services | SQL Server Integration Services (SSIS) | SQL Server Reporting | SQL Server Reporting Services | SQL Server Reporting Services (SSRS) | SQL Server integration | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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