Knowledge Graph / Neo4j Engineer

As a candidate for the position, you should have expertise in the following technical skills: - 4-7 years of experience in Knowledge Graphs, Semantic Technologies, or Graph Databases - Expert-level proficiency with Neo4j including Cypher, Neo4j Desktop, Bloom, and Graph Data Science - Solid understanding of graph modeling, graph theory, and ontology design - Practical experience with Python, Java, or Scala for data integration - Familiarity with ETL pipelines, Kafka, Spark, or similar data platforms - Knowledge of API design, microservices, and cloud deployment of Neo4j solutions It would be advantageous if you also possess the following preferred skills: - Experience with RDF, OWL, SPARQL in hybrid graph ecosystems - Proficiency in integrating Neo4j with LLMs or vector embeddings - Exposure to cloud platforms such as AWS, Azure, GCP, or Neo4j Aura - Familiarity with Docker, Kubernetes, and CI/CD pipelines In addition to technical skills, soft skills are also important for this role: - Strong analytical and problem-solving abilities - Ability to effectively communicate complex graph concepts to non-technical stakeholders - Collaborative mindset with experience working across data, engineering, and business teams As a candidate for the position, you should have expertise in the following technical skills: - 4-7 years of experience in Knowledge Graphs, Semantic Technologies, or Graph Databases - Expert-level proficiency with Neo4j including Cypher, Neo4j Desktop, Bloom, and Graph Data Science - Solid understanding of graph modeling, graph theory, and ontology design - Practical experience with Python, Java, or Scala for data integration - Familiarity with ETL pipelines, Kafka, Spark, or similar data platforms - Knowledge of API design, microservices, and cloud deployment of Neo4j solutions It would be advantageous if you also possess the following preferred skills: - Experience with RDF, OWL, SPARQL in hybrid graph ecosystems - Proficiency in integrating Neo4j with LLMs or vector embeddings - Exposure to cloud platforms such as AWS, Azure, GCP, or Neo4j Aura - Familiarity with Docker, Kubernetes, and CI/CD pipelines In addition to technical skills, soft skills are also important for this role: - Strong analytical and problem-solving abilities - Ability to effectively communicate complex graph concepts to non-technical stakeholders - Collaborative mindset with experience working across data, engineering, and business teams