Semantic web technologies (rdf, rdfs, owl, sparql)
Linked data and knowledge graphs
The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues
Job Summary
The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues.
Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets.
Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Matching Summary
The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues.
Skills & Requirements
Must-have
ontology and taxonomy development
semantic web technologies (RDF, RDFS, OWL, SPARQL)
linked data and knowledge graphs
metadata management and semantic enrichment
advanced data integration with semantic technologies
Nice-to-have
thought leadership for strategic projects
collaboration and flexibility
culture of innovation
authentic self expression
advocate for established semantics
Key Requirements
5+ years of experience with taxonomy and ontology development
3+ years of experience in advanced data integration
Programming skills in Python, Java, or JavaScript
Understanding of agile development life cycle
Experience with cloud services (AWS, Google Cloud, Azure) is a great bonus