Senior Ontology Engineer - Semantic Data Modelling
Siemens
Hello Visionary!We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.
Does that sound like you? Then it seems like you’d make a great addition to our vibrant team.
We are looking for Senior Ontology Engineer - Semantic Data Modelling.
Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.
BUSINESS AREA:Siemens Energy business - Partner & driver of energy transition.
Building innovative technologies, extensive energy experience and an ambitious strategy to decarbonize global energy systems are all central to our efforts to be the partner and driver of the energy transition.
Technology advances every day. Information Technology is crucial to our future. As part of our IT R & D team, you’ll build extensive IT digital systems, develop plans for using cloud technologies, and create industrial data analytics platforms. Your work will benefit everyone at Siemens business entities. If you are determined to take us further with innovative IT solutions that keep our world connected and businesses moving forward, then there’s a place for you at Siemens Energy.
Creative in building multiple digital solutions.
CLICK HERE: HTTPS://LNKD.IN/EXHQBPE (https://lnkd.in/exHqbpe) https://www.youtube.com/watch?v=Jf1BB4EN36g (https://www.youtube.com/watch?v=Jf1BB4EN36g)
Join our Digitalization Technology and Services (DTS) team based in Bangalore.
WHAT DIGITAL SOLUTIONS/PLATFORMS WE ARE BUILDING: Knowledge Graph Enabling Data Intelligent Applications using Semantic Data Modelling – A data for Digital Twin and BIM.
The knowledge graph represents a collection of interlinked descriptions of real-world entities like objects, events. The graph is processable by the machine as well as humans.
JOB REQUIREMENTS/ SKILLS:• Experience in Data Engineering and Ontology• Expert in Data modelling, high level architecture designs and concepts with 2-7 years of experience• Strong Python programming skills• Good experience in ETL (Extract, Transform, Load) operations using Python and loading to graph DB.• Expert in converting data into RDF. • Expert in understanding of triple store database concepts and implementation in Graph DB (like Blazegraph)• Supports new developments in Digitalization which are based on 3D, 4D and 5Ddata• Expert in converting data from different formats like xml, excel etc into RDF (Resource Description Framework)• Expert in various relational databases and NoSQL databases like MongoDB, semantics, triple stores etc • Hands on working experience in Semantic Web standards from W3C: RDF, RDFS, OWL, SPARQL etc.• Large scale data visualizations on the lines of d3js, Graphviz.• Advance Level knowledge on data integration and complex data workflows
Mandatory Skills:• 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
Create a better #TomorrowWithUs!
This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.
We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.
At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
Does that sound like you? Then it seems like you’d make a great addition to our vibrant team.
We are looking for Senior Ontology Engineer - Semantic Data Modelling.
Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.
BUSINESS AREA:Siemens Energy business - Partner & driver of energy transition.
Building innovative technologies, extensive energy experience and an ambitious strategy to decarbonize global energy systems are all central to our efforts to be the partner and driver of the energy transition.
Technology advances every day. Information Technology is crucial to our future. As part of our IT R & D team, you’ll build extensive IT digital systems, develop plans for using cloud technologies, and create industrial data analytics platforms. Your work will benefit everyone at Siemens business entities. If you are determined to take us further with innovative IT solutions that keep our world connected and businesses moving forward, then there’s a place for you at Siemens Energy.
Creative in building multiple digital solutions.
CLICK HERE: HTTPS://LNKD.IN/EXHQBPE (https://lnkd.in/exHqbpe) https://www.youtube.com/watch?v=Jf1BB4EN36g (https://www.youtube.com/watch?v=Jf1BB4EN36g)
Join our Digitalization Technology and Services (DTS) team based in Bangalore.
WHAT DIGITAL SOLUTIONS/PLATFORMS WE ARE BUILDING: Knowledge Graph Enabling Data Intelligent Applications using Semantic Data Modelling – A data for Digital Twin and BIM.
The knowledge graph represents a collection of interlinked descriptions of real-world entities like objects, events. The graph is processable by the machine as well as humans.
JOB REQUIREMENTS/ SKILLS:• Experience in Data Engineering and Ontology• Expert in Data modelling, high level architecture designs and concepts with 2-7 years of experience• Strong Python programming skills• Good experience in ETL (Extract, Transform, Load) operations using Python and loading to graph DB.• Expert in converting data into RDF. • Expert in understanding of triple store database concepts and implementation in Graph DB (like Blazegraph)• Supports new developments in Digitalization which are based on 3D, 4D and 5Ddata• Expert in converting data from different formats like xml, excel etc into RDF (Resource Description Framework)• Expert in various relational databases and NoSQL databases like MongoDB, semantics, triple stores etc • Hands on working experience in Semantic Web standards from W3C: RDF, RDFS, OWL, SPARQL etc.• Large scale data visualizations on the lines of d3js, Graphviz.• Advance Level knowledge on data integration and complex data workflows
Mandatory Skills:• 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
Create a better #TomorrowWithUs!
This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.
We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.
At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
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