Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Science
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, you will assist with the design and blueprint of the data platform, ensuring that all relevant components are effectively integrated. Your typical day will involve collaborating with various teams, including Integration Architects and Data Architects, to create a cohesive data environment that supports organizational goals and enhances data accessibility and usability. You will engage in discussions to refine the data architecture and contribute to the overall strategy for data management and utilization within the organization. SKILLS Expertise in Metaphactory: Proficient in using Metaphactory for knowledge graph development and management. Experience in customizing Metaphactory tools to meet specific business needs, including adding new functionalities and integrations Graph Database and Triple Store Knowledge: Hands-on experience with triplestore databases, preferably RDFox. Understanding of graph-based data models and their application in semantic systems. Data Querying & Optimization Skills: Strong knowledge of Datalog for querying, reasoning over rule-based data, and optimizing queries for faster processing and efficient data retrieval. Deep understanding of SPARQL, the query language for RDF data, with the ability to craft complex queries to extract and manipulate data from RDF-based knowledge graphs. Ensure high performance and scalability of knowledge graph systems through optimization techniques Semantic Web and RDF Expertise: Good knowledge of semantic technologies, including RDF (Resource Description Framework) and related standards. Experience with RDFS, OWL, SHACL, and SKOS for ontology modeling, validation, and controlled vocabularies in semantic systems. Technical Documentation and Collaboration: Create detailed technical documentation for knowledge graph solutions and customizations. Work closely with stakeholders to align technical implementations with business goals. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Bengaluru
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