Job Title: Graph Database Engineer (Neo4j / Knowledge Graph)

Experience: 4–8 Years (Preferred)

Key Responsibilities

- Design, develop, and optimize graph database solutions using GraphDB technologies.
- Build, maintain, and query graph data models for enterprise applications.
- Develop and manage Knowledge Graphs to support AI and data-driven use cases.
- Design graph schemas, relationships, and ontologies for efficient data representation.
- Collaborate with AI/ML, data engineering, and application development teams to integrate graph-based solutions.
- Optimize graph queries and ensure high performance, scalability, and reliability.

Required Skills

- Solid hands-on experience with Graph Databases.
- Neo4j experience is highly preferred.
- Proficiency in Cypher query language and graph data modeling.
- Good understanding of graph database architecture, indexing, and performance optimization.
- Experience with REST APIs and integrating graph databases with enterprise applications.




- Familiarity with Java, Python, or similar programming languages.

Preferred Skills

- Experience in building and managing Knowledge Graphs.
- Exposure to AI/ML, Generative AI, or Retrieval-Augmented Generation (RAG) solutions using graph databases.
- Knowledge of semantic technologies such as RDF, SPARQL, or OWL is an added advantage.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Excellent analytical, problem-solving, and communication skills.

Nice to Have

- Experience with GraphRAG, LLM-based applications, or AI-powered knowledge management systems.
- Understanding of enterprise data integration and ontology design.

Skills:- Graph Databases, Neo4J and Amazon Web Services (AWS)

📌 Sr. Software Engineer (India)
🏢 Activaccer
📍 India