![]() ![]() Exposure to web services and APIs that return large data sets.Experience with data lakes in a Hadoop or AWS environment.Experience in an enterprise environment with DevOps best practices and technologies such as Docker, Version Control (GitLab), and Release Management (Jenkins).Experience in an object-oriented programming language like Python or Java.Ideally AWS services such as EMR, Glue, Athena and Redshift Understanding architecture to where they can communicate needs to could engineers. Demonstrated experience with cloud technologies.Strong understanding in concepts and the features to maintain a well-structured and efficient database Extensive experience in data warehouse concepts and dynamic object architecture.Demonstrated experience in managing priorities of others in an environment where individuals are working on multiple priorities with multiple skillsets.Extensive experience with process improvement that results in team buy-in and adoption.Demonstrated experience in full system lifecycle development including requirements gathering, systems analysis, development of data services, testing and implementation of large enterprise systems as the subject matter expert.Ability to set competing priorities and meeting critical deadlines Strong communication and interpersonal skills with both technology team members and business partners. Demonstrated experience in working effectively in a team environment as a project leader.Experience with Business Intelligence tools such as MicroStrategy or Tableau.Candidate will understand DBA role in order to communicate needs of the team Candidate will coach, guide and review work. Extensive experience in relational databases, like Oracle, Postgres and Redshift including advanced SQL writing ability.This experience should include a cloud environment. Architecture experience with ETL tools, like Talend, and data workflows where the candidate will setup framework and review code of other developers. ![]() ![]() Bachelor’s degree or equivalent relevant work experience in Information Technology related field.Are you a good fit with the Hokies data management and analytics team? We are looking for a problem solver who can help us deliver great service and technology solutions. 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. 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. There are many opportunities for growth, as VT has a wide range of technology experts who frequently give training in their area of expertise. 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. 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 debate architecture around best practices and new development ideas without tearing each other down. Join a data team that works closely together and shares credit with our successes and responsibility with our failures. Information Technology Select Category and delete this line
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