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Knowledge Graph Engineer

Virtusa
9 hours ago
Full-time
Remote
Worldwide
Marketing

This is a remote position.

We are seeking a Knowledge Graph Engineer to build, optimize, and scale our graph data infrastructure and ingestion pipelines.

Key Responsibilities:

  • Design, implement, and maintain production knowledge graph architectures using Neo4j.

  • Build automated ETL/ELT ingestion pipelines to map relational, semi-structured, and unstructured data into scalable graph schemas.

  • Write high-performance Cypher queries and optimize graph indexing, traversal speeds, and memory usage.

  • Integrate knowledge graphs with downstream AI/ML workflows and agentic systems (GraphRAG, vector + graph hybrid search).

  • Implement data quality checks, entity resolution, and graph lineage monitoring.

Work Schedule: During the onboarding phase, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.


Requirements

  • 3+ years of hands-on experience designing and operating graph databases, with a strong preference for Neo4j (Aura / Enterprise).

  • Expert-level proficiency in Cypher and a solid understanding of graph data modeling (Labeled Property Graphs vs. RDF).

  • Strong Python and SQL skills for data transformation, entity linking, and pipeline automation.

  • Experience integrating graph databases with modern cloud data platforms (e.g., Databricks, AWS, Azure) or LLM frameworks (LangChain, LlamaIndex).

  • Familiarity with semantic modeling concepts and ontology-driven schemas is a strong plus.