Senior Data Model Engineer(Ontologist)

Overview

Senior Ontology Engineer building semantic data models and knowledge graphs

Key Responsibilities

• digitalization
• 3d modeling
• 4d modeling
• 5d modeling

Tasks

-Supports new developments in Digitalization which are based on 3D, 4D and 5Ddata

Requirements

• python
• rdf
• graphdb
• etl
• data modeling
• 2-7 years

What You Bring

-Strong Python programming skills -Expert in converting data from different formats like xml, excel etc into RDF (Resource Description Framework) -Experience in Data Engineering and Ontology -Expert in various relational databases and NoSQL databases like MongoDB, semantics, triple stores etc -Advance Level knowledge on data integration and complex data workflows -Good experience in ETL (Extract, Transform, Load) operations using Python and loading to graph DB. -Expert in Data modelling, high level architecture designs and concepts with 2-7 years of experience -Expert in understanding of triple store database concepts and implementation in Graph DB (like Blazegraph) -RDF, RDFS, OWL, SPARQL, Data Modeling -Minimum 1 year of relevant (only hands on experience is countable, not just knowledge or awareness) experience on above mandatory technology stack -Total experience should be about 2 – 7 years of experience -Large scale data visualizations on the lines of d3js, Graphviz. -Hands on working experience in Semantic Web standards from W3C: RDF, RDFS, OWL, SPARQL etc. -Expert in converting data into RDF.

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About Siemens

-The company drives progress with solutions in electrification, automation, and digitalization across industries. -With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure. -Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility. -Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles. -It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors. -Transforming how industries use digital technology to optimize operations and tackle global challenges.

Sector Specialisms