Description :
Key Responsibilities :
- Design, develop, and optimize graph data models and schemas based on business requirements.
- Ingest, manage, and transform data within graph databases for analytics and application use cases.
- Write efficient and complex graph queries using SPARQL, Gremlin, DQL, GSQL, or CQL.
- Work with multiple graph database platforms such as Neo4J, Amazon Neptune, Dgraph, JanusGraph, or Azure Cosmos DB.
- Collaborate with cross-functional teams to integrate graph data with enterprise systems and applications.
- Implement performance tuning, indexing, and data governance best practices.
- Develop supporting scripts and automation tools using Python, Node.js, or Java.
Required Skills & Qualifications :
Strong conceptual understanding of graph theory, property graphs, data modeling, and relationship-driven data structures.Proven hands-on experience with one or more graph database technologies (Neo4J, Amazon Neptune, Dgraph, JanusGraph, Azure Cosmos DB).Proficiency in one or more query languages (SPARQL, Gremlin, DQL, GSQL, or CQL).Working knowledge of Python, Node.js, or Java for data ingestion and processing.Strong problem-solving, analytical, and communication skills(ref : hirist.tech)