Data Platform Engineer
Accenture
- Location
- Onsite (Gurugram, Haryana)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the role
Accenture is seeking a Data Platform Engineer to assist in designing data platform components and integrating systems with architects. The role focuses on developing ontologies, taxonomies, and knowledge graphs to support structured data representation and semantic search capabilities.
Skills
Data Modeling
Ontology Design
Knowledge Graphs
RDF
OWL
SKOS
SHACL
Protégé
TopBraid Composer
SPARQL
Neo4j
ArangoDB
Python
Java
Semantic Modeling
Metadata Schemas
Full job details
Project Role : 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 Modeling Techniques and Methodologies
Good 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 modeling, and graph database management.
- Proficiency in RDF, OWL, SKOS or SHACL
- Proficiency in Prot g or TopBraid Composer or any other modelling tool
- Familiarity with SPARQL or other graph query languages
- Knowledge in any of the knowledge graph platforms like Neo4j, Dgraph, StarDog, TopBriad ,ArangoDB, and Blazegraph.
- Ability to incorporate domain knowledge into semantic models for actionable business insights.
Good to Have Skills:
- Collaborate with AI/ML teams to implement natural language processing and contextual data retrieval using knowledge graphs.
- Enhance data discovery and search capabilities through graph-based search relevancy and knowledge representation.
- Experience with knowledge graph visualization tools like Graphistry and Gephi.
- Experience in programming skills in Python or Java to implement custom graph applications and integrations.
- Integrate graph database solutions for efficient data querying and management.
- Familiarity with open-source graph databases and their applications in real-time analytics.
Professional Experience:
- Good communication skills for conveying complex concepts to technical and non-technical stakeholders.
- Ability to work both independently and within a team setting, showing leadership in best practices.
- Proactive, innovative, and detail-oriented, with a strong focus on emerging technologies.
Educational Qualification:
- Bachelor s or master s degree in information science, Data Science, Knowledge Management, or a related field.
- Certifications in ontology management or data standards are highly valued.
15 years full time education
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
Good 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 modeling, and graph database management.
- Proficiency in RDF, OWL, SKOS or SHACL
- Proficiency in Prot g or TopBraid Composer or any other modelling tool
- Familiarity with SPARQL or other graph query languages
- Knowledge in any of the knowledge graph platforms like Neo4j, Dgraph, StarDog, TopBriad ,ArangoDB, and Blazegraph.
- Ability to incorporate domain knowledge into semantic models for actionable business insights.
Good to Have Skills:
- Collaborate with AI/ML teams to implement natural language processing and contextual data retrieval using knowledge graphs.
- Enhance data discovery and search capabilities through graph-based search relevancy and knowledge representation.
- Experience with knowledge graph visualization tools like Graphistry and Gephi.
- Experience in programming skills in Python or Java to implement custom graph applications and integrations.
- Integrate graph database solutions for efficient data querying and management.
- Familiarity with open-source graph databases and their applications in real-time analytics.
Professional Experience:
- Good communication skills for conveying complex concepts to technical and non-technical stakeholders.
- Ability to work both independently and within a team setting, showing leadership in best practices.
- Proactive, innovative, and detail-oriented, with a strong focus on emerging technologies.
Educational Qualification:
- Bachelor s or master s degree in information science, Data Science, Knowledge Management, or a related field.
- Certifications in ontology management or data standards are highly valued.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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