Join a data team that works closely together and shares credit with our successes and responsibility with our failures. We debate architecture around best practices and new development ideas without tearing each other down. We provide great customer service to our business and technology partners by using relational collaboration and not transactional bureaucracy in order to help deliver data driven decisions to one of the top Universities in the country. We work with a wide range of technologies, and no we do not expect you to know all of them, but you will need to be a fast learner and be technically curious in order to be successful here.
There are many opportunities for growth, as VT has a wide range of technology experts who frequently give training on their area of expertise. As we move to a modern data-lake architecture, we need fast learners who are also passionate about supporting the existing processes that runs the University. The data management and analytics team is a part of central technology and runs Virginia Tech’s warehouse, data lake, data integrations and business intelligence solutions. We are looking for a problem solver who can help us deliver great service and technology solutions. Are you a good fit with the Hokies data management and analytics team?
• Bachelor’s degree in Business Information Technology, Computer Science, Information Systems or related field or equivalent training and/or experience• Advanced experience with (ETL) technologies such as Talend• Extensive experience in relational databases, like Oracle, Postgres and Redshift including advanced SQL writing ability• Experience with cloud technologies such as AWS• Demonstrates skills in working effectively in a team environment. Strong communication, organization, and interpersonal skills• Demonstrated experience in full system lifecycle development including requirements gathering, systems analysis and development of data services, testing and implementation of large enterprise systems
• Extensive experience in data warehouse concepts and dynamic object architecture. Strong understanding in concepts and the features to maintain a well-structured and efficient database• Experience in cloud services. Ideally AWS services such as EMR, Glue, Athena, RDS and Redshift• Experience in an object-oriented programming language like Python or Java.• Experience with Business Intelligence tools such as MicroStrategy, Tableau or SAS• Experience in an enterprise environment with DevOps best practices and technologies such as Docker, Version Control (Git), and Jenkins• Experience with data lakes in a Hadoop or AWS environment• Exposure to web services and APIs