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Sr. Data Engineer Hybrid / Remote
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- A data engineer is responsible for designing, developing, testing, documenting, and maintaining data warehouse and analytics architecture to meet UCSF's data and analytics needs.
- Design, develop, test, document, and support new and existing ETL processes using Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, IBM InfoSphere DataStage, or other tools.
- This role will work with the Enterprise Information and Analytics (EIA) department to advance UCSF's institutional priorities by enhancing access to and the use of data and analytics, including appropriate data platforms and data governance, in a manner that meets the unique needs across the education, research, and care mission areas.
- The EIA department archives its goals by working with clinical, research, education, and business partners to organize, integrate, govern, and transform UCSF's data assets into actionable insight and information.
- At least 5 years of designing and creating reports, scorecards, and dashboards using Tableau, Power BI, or any data visualization tools.
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