Activaccer

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

• Strong 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.