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 Modeling Techniques and Methodologies
Positive to have skills : NA
Minimum 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 data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.
Key Responsibilities:
- Knowledge Modeling & Ontology Design
- Knowledge in any of the domain-specific standards
- Develop ontologies and taxonomies using any of the open-source knowledge graph tools and build sophisticated knowledge graphs for structured data representation that aligns with domain standards.
- Build and refine knowledge graphs for structured data representation, aligning with domain standards
- Design scalable architectures for linked data and semantic models, integrating data from multiple sources.
- Design metadata schemas and common data vocabulary, leveraging RDF/OWL to enhance data accessibility.
- Use tools like Prot g or TopBraid Composer or any other tool to define and manage ontology structures.
- Develop data models that support semantic search, data extraction, and AI-driven recommendations.
Technical Experience:
Must Have Skills:
- Minimum of 2 years in ontology development, knowledge model
📌 Data Modeling Techniques and Methodologies (Indore)
🏢 Accenture
📍 Indore
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