Data Modeler
We are embarking on a new strategic initiative for one of our US based clients, a leader in the auto insurance industry. We seek a Data Modeler to become a pivotal team member for this challenge. As a Data Modeler you will be responsible for the development of our engineering data strategy, continually audit existing data architecture, recommend improvements, partner with data engineers to support decision-making and promote data understanding.
Our objective is to:
- Advance our data strategy with the introduction of new data governance and management systems
- Amplify our competitive edge by developing data-driven systems
- Integrate machine learning into our platform, enhancing our decision-making capabilities
You might be our missing piece if you have:
- A deep understanding of Data Management standards and practices for an enterprise
- At least 3 years of experience with building ontologies and/or SKOS taxonomies
- Familiarity with RDF, RDFS, OWL and SKOS
- Familiarity with ontology and taxonomy management tools such as Protege, Topbraid EDG, VocBench, PoolParty, Semaphore.
- Familiarity with relational data modeling
- Understanding how relational models translate to RDF models
- Experience with inference rules on RDF graphs
- Familiarity with R2RML or SMS2 (Stardog’s mapping language) SHACL
- Experience with at least one RDF graph database such as Stardog, GraphDB or Anzograph RDF* and SPARQL*
- Good communication skills (advocate for the related processes, data governance, etc.)
- An avid learner orientation (especially if a taxonomist without the business area expertise).
We will be working together on the following:
- Developing of our engineering data strategy
- Continually auditing existing data architecture and recommending improvements
- Tracking emerging technologies and evaluating their use for the business
- Understanding and managing the flow of data including dissemination of information within the organization
- Partnering with data engineers to support decision-making and promote data understanding
- Ensuring compliance with architectural decisions and design principles.
- Department
- AI/Data Engineering/Machine Learning
- Locations
- Cluj-Napoca, Oradea
- Remote status
- Hybrid Remote
About RebelDot
At RebelDot we enable organizations in more than 15 industries to make an asset out of custom software. From consulting to web or mobile apps, UX-UI design and QA, we help our clients achieve more through technology. Our goal is to make software development effective and hassle-free for small and medium enterprises.
Helping our clients get the most value for their investment in technology is what drives us. Increasingly, this means working with them as a full technical partner, starting with an initial consulting stage where we understand their needs and propose the optimal approach – or, “the line”, as we call it. Because of our ‘rebel’ approach to software development, oftentimes, our solutions are very different from our peers as we stand out through innovation. From there on out, we partner up and lead the line for our clients.
Data Modeler
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