The University of Virginia Darden School of Business, one of the world's leading business schools, seeks a Senior Data Engineer to join the Office of Research Services (ORS) in a two year assignment. The role interfaces with the Strategic IT Data & Analytics unit, partnering with data architects and other IT professionals, to assist in carrying out the school's research mission. Reporting to the Director of ORS, this individual will design and build modern big data architectures in Azure to support faculty research, with an eye toward eventually launching a new faculty research-centered Darden Data Lab.
The Senior Data Engineer will interface directly with the faculty to understand research needs and make recommendations to senior leadership of ORS and Data & Analytics on strategic direction. This is a hands-on development role and will be responsible for the creation, maintenance, scalability, performance and reliability of various data models.
This is a two year assignment with benefits. The Senior Data Engineer may work either on-site in Charlottesville, VA or remotely.
Leading the design, implementation and support of all data engineering related tasks for Darden faculty researchers.
Designing and implementing data load processes from disparate data sources into Azure Data Lake, Azure Synapse.
Migrating existing processes, datasets from on-premises SQL Server and other environments to Azure Synapse, Azure Data Lake in support of faculty research projects.
Performing unit testing, and peer reviews with other team members to make sure code is rigorously designed and effectively tuned for performance.
Serving as Darden Data Lab administrator, monitoring usage and maintaining awareness of incremental usage costs.
Providing user training for faculty and researchers to navigate and work within the Darden Data Lab environment(s).
Becoming a data domain expert for all research data in the Azure environment.
Led by faculty, developing experimental and predictive models to support faculty research.
As directed by faculty, analyzing new and existing data after extracting, transforming, and combining it.
Developing and maintaining user-facing documentation for datasets created and reference material for the Darden Data Lab environment.
Assisting and advising faculty and researchers with integrating Darden Data Lab capabilities into their research analytical processing.
Collaborating with faculty, a strong social science research team and a team of developers with deep experience in data management.
Participating in sprint planning and providing inputs on effort estimation.
Professional Experience and Education:
Bachelor's degree in Computer Science, MIS, Computer Engineering or related discipline and at least seven years of relevant experience required. Relevant experience may be considered in lieu of a degree.
Knowledge and experience with SQL and data analysis required.
Highly self-motivated to deliver both independently and with strong team collaboration.
Strong written and oral communications along with presentation and interpersonal skills.
Strong skills in working with Microsoft Office (Word, PowerPoint, Excel etc.)
Excellent verbal and written communication skills to convey technical guidance and information to users and to provide excellent customer service.
Five+ years of experience working as a data engineering team member
Three+ years of experience with writing SQL
Three+ years of cloud experience in Azure: Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse, Azure DevOps, Azure Machine Learning and automation
Two+ years of experience with building predictive models
One+ years of experience with Spark
One+ years of experience with PowerBI
Familiarity with SSIS, SSAS, SSRS
Understanding of BI/DW methodology and techniques
This position will remain open until filled. This is an Exempt level, benefited position. The University will perform background checks on all new hires prior to employment.
COVID Vaccination Requirement
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