Job Title:

Data Engineer

Project Overview:

Join our 11-Delivery department to support a critical and dynamic project that leverages data engineering expertise. This role involves designing, developing, and optimizing data systems while collaborating within a hybrid work structure. Your contributions will help build robust data models and drive insights for our organization.

 

Key Responsibilities:

• Knowledge graph / data engineers with expertise to build on P[x] data foundations that power AI reasoning familiar with KG / RDF concepts, agentic systems, KG usage patterns, graph construction, and agentic (and traditional) data analysis processes to assist with a few knowledge generation, analysis, and transformation tasks. UMR and ontological design concepts are extras.. This involves designing scalable pipelines, constructing, and maintaining knowledge graphs, and working with semantic representations that allow the platform to understand relationships across large, diverse datasets. The ideal expertise bridges traditional data engineering with NLP and ontology-driven modeling.
• inter-related complex information into a semantic representation; UMR is a huge bonus; knowledge graph curation.
• UMR is beneficial; RDF; Sparql

 

Required Skills and Experience:

• Mandatory:Proven expertise in data modeling with at least 6-8 years of experience in related fields.
• Preferred:Proficiency in Python for data manipulation and pipeline automation.