
knowledge graph engineer
2 weeks ago
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of experience in software development, with a focus on large-scale data systems, knowledge graphs, or graph-based technologies.
- Proficiency in programming languages such as Python, Java, or Scala for data processing and production code development.
- Strong understanding of graph data structures, algorithms, and graph database technologies (e.g., Neo4j, RDF-tiple, JanusGraph, Amazon Neptune).
- Experience with database systems (SQL and NoSQL), data modeling techniques, and graph query languages such as Cypher or SPARQL.
- Knowledge of API design and microservices architecture for exposing knowledge graph data.
- Experience with big data technologies like Spark and Hadoop for data ingestion and processing.
- Strong problem-solving skills and the ability to translate complex business needs into technical solutions.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Experience with graph analytics and graph algorithms (e.g., centrality, community detection, link prediction) is highly beneficial.
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