Lead Semantic Web Engineer
Experience: 5+ Years
Location: Remote
What is in it for you?
As a Lead Semantic Web Engineer , you will be at the forefront of building advanced knowledge graph solutions using Amazon Neptune, Metaphactory, and semantic web technologies to enable intelligent, cloud-native data ecosystems.
Skills:
Mandatory Skills:
Semantic web or knowledge graph engineering
Good to Have Skills:
Python and familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus
Responsibilities:
5+ years of hands-on experience in semantic web or knowledge graph engineering, including leading complex projects.
Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB (Amazon Neptune preferred).
Strong proficiency in Python; familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus.
Practical experience with RDF, OWL, SPARQL, and ideally SHACL.
Experience with relational databases (SQL) and graph databases (SPARQL).
Hands-on experience with ontology/graph tools such as Prot g , TopBraid, or Metaphactory (Metaphactory preferred).
Solid understanding of data modeling, ETL processes, and data governance.
Experience with cloud platforms (AWS preferred) and their data services.
Understanding of AI/ML concepts and how semantic data can enhance AI applications.
Familiarity with CI/CD, agile practices, and infrastructure tools like Git, Jenkins, Azure DevOps, and Terraform.
Strong communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.
Educational Qualifications:
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
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