Support the development and maintenance of scalable data stores that supply network graph data needed to support analytics and data science. Apply leading-edge principles, theories, and concepts on graph storage and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both firm and technical competencies.
Experience with network graph database platforms that include neo4j, Azure CosmosDB, and Amazon Neptune
Experience with graph programming languages that include Gremlin and SPARQL
Experience with deploying large scale graph databases to the cloud
Ability to obtain a security clearance
BS degree in Engineering, Physics, Computer Science, or Mathematics
Experience with software development processes, including Agile
Experience with big data engineering platforms such as Databricks and corresponding graph solutions such as GraphFrames
MS degree in Engineering, Physics, Computer Science, or Mathematics preferred
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