Responsibilities: - Implement data solutions in the GraphDB space. - Perform graph data modeling for production systems, including data refactoring and model refactoring to optimize performance and scalability. - Utilize hands-on experience with graph databases such as Neo4j, AWS Neptune, Azure Cosmos, and Gremlin API (preferred). - Demonstrate proficiency in graph query languages including Cypher, Gremlin, and SPARQL. - Maintain a solid understanding of graph data modeling techniques and paradigms such as LPG and RDF. - Work with relational databases and SQL. - Develop expertise in data replication and data movement strategies to ensure seamless data transfer and synchronization across multiple systems.
Any Graduate