Design and architect graph database models using Neo4j platform Collaborate with engineers and data scientists to integrate graph databases into production systems and analytics pipelines. Optimize graph data storage, traversal, and indexing for performance and scalability. Develop and enforce data integrity, security, and access policies within graph systems. Monitor, troubleshoot, and tune graph database performance. Maintain documentation of data models, configurations, and integration patterns. Stay current with emerging trends in graph technologies, data modeling techniques, and query optimization. Qualifications: Required: 3+ years of experience working with graph databases and data modeling. Strong proficiency in at least one graph query language (e.g., Cypher, Gremlin). Solid understanding of graph theory and its practical applications. Experience with one or more graph database platforms (Neo4j, Amazon Neptune, TigerGraph, etc.). Experience with data integration and ETL pipelines. Preferred: Experience with Azure cloud services and deployment Familiarity with RDF, OWL, or knowledge graph principles. Exposure to projects using graph data. Familiarity with RESTful APIs and microservices architectures. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. In this role, you will be responsible for designing, implementing, optimizing, and maintaining Neo4j graph database solutions that support complex data relationships and high-performance querying. You will work closely with AI engineers, data scientists, backend engineers, and product teams to enable powerful data insights and scalable systems using graph technologies. Accepted file types: doc, docx, pdf, Max. file size: 2 MB. #J-18808-Ljbffr
WideNet Consulting