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.
Indore
Equal Employment Opportunity Statement for Australia and New Zealand
At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.
Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.