Are you a Data Ontologist working at a Large Financial Institution and being told by your leadership that you are too hands-on or detail-oriented or think and work like a start-up?
Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!
We look forward to your joining our Platform Engineering Team.
Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.

SKILLS AND QUALIFICATIONS

• Education: Bachelor’s or Master’s degree in Information Science, Computer Science, Data Science, or related fields.
• Experience: 8+ years of experience in data management, with at least 5+ years focused on ontology design, semantic web technologies, or knowledge representation.
• Proficiency in ontology languages such as RDF, OWL, and query languages like SPARQL.
• Experience with knowledge graph technologies (e.g., Neo4j, GraphDB, or Stardog).
• Strong understanding of metadata management, data integration, and data interoperability.
• Familiarity with machine learning and AI concepts.
• Advanced use of MS Office, especially Excel and PowerPoint for presenting complex data structures.
• Analytical Skills: Excellent problem-solving abilities and experience in conceptualizing and developing structured data solutions.
• Collaboration: Strong team player with the ability to collaborate across cross-functional teams, including data engineers, scientists, and business leaders.

Please refer the Job description for details