Data Migration Engineer Id18324

What you will do Serve as an expert and go-to person for graph optimization problems; Supervise safe, accurate, and efficient transfer of job chains from competitive systems to Redwood products; Work with schema on read problems (given XML, JSON, etc.) to create a solution that maps a reader to that schema, translates to an internal standard schema for a standard set of objects, and that feeds into the chain generator; Collaborate with cross-functional teams to align data migration with business goals and technical requirements. Must haves Expert knowledge in Graph Theory (5+ years of professional experience); Graph Algorithms (analyze graph structures and uncover meaningful patterns. Topics such as breadth-first search, depth-first search, shortest path algorithms, centrality measures, and community detection algorithms for exploring relationships and characteristics within graphs); Graph Visualization: Visualization techniques, including force-directed layouts, hierarchical layouts, and matrix representations; Graph Database Technologies: Graph database technologies, such as Neo4j, Amazon Neptune, or Microsoft Azure Cosmos DB; Knowledge of one of the following programming languages: Java, Python; Proficient in version control software such as Git, Mercurial or SVN; Proficient in using software collaboration tools such as TFS or JIRA; Working knowledge of various databases (MySQL, MSSQL, Oracle, Postgres); Working knowledge of various operating systems (Windows, Linux); Working knowledge of integrating with RESTful services using JSON; Upper-intermediate English level. Nice to haves Practical experience in one of the domains related to graph analytics: e.g. social network analysis, fraud detection, recommendation systems, supply chain optimization, cybersecurity; Basic understanding of Scrum methodology; Experience with cloud-based services including AWS and Azure. #J-18808-Ljbffr