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Knowledge graph engineer - data science {nabídka práce}

CZ - Prague

Popis pracovní pozice

  • Lead the ongoing design and continuous development of our knowledge graphs, share the expertise with other specialists

  • Drive the integration of existing and new data sources into connected representations

  • Ensure the knowledge architecture and graph technology reflect the state of the art

  • Update the graphs and evolve data engineering decisions in sync with other systems and data products to deliver optimal business value

  • Architect data workflows and participate in the implementation of applications that query or update the graph data

  • Gather inspiration from semantic web standards and linked open data to enhance internal taxonomies and ontologies and promote their external reuse


Jazyky: English

  • Bachelor's or higher degree or considerable work experience in Knowledge Management, Logic, Library Science, Computer Science, or related fields

  • 3+ years of experience in data integration, ontology alignment, semantic search, and data management

  • Expertise in theoretical areas like knowledge representation, semantic web technology, linked data

  • Expertise in a choice of programming tools for data processing and data exchange in various formats

  • Experience with graph databases as well as other database types, and triplestores

  • Experience with Neo4j, Cypher, SPARQL, Python, Elasticsearch, and familiarity with alternatives

  • Fluency in English and strong communication skills – verbal, written, and graphical

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