Knowledge Graph Engineer

115 - 130 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnieFull-time·B2B

#479907·Dodano wczoraj·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Neo4j PythonCypherKnowledge GraphsGraph Data ModelingSQL ETL ELTGraphRAG / Hybrid SearchEntity Resolution / Entity LinkingCloud Data Platforms & LLM Frameworks

Podsumowanie oferty

Build, optimize, and scale knowledge graph infrastructure and ingestion pipelines. Design production graph architectures using Neo4j, automate ETL/ELT pipelines, and integrate knowledge graphs with AI/ML workflows and GraphRAG.

Wymagania

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.

Obowiązki

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, including GraphRAG and vector-plus-graph hybrid search.
Implement data quality checks, entity resolution, and graph lineage monitoring.

Inne informacje

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

VIRTUSA

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