3 weeks ago

Knowledge Graph, Graph DB, Python/Senior Consultant Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Design and implement Knowledge Graph solutions for enterprise metadata management, including ontology design, RDF/LPG modeling, and graph schema architecture. Optimize SPARQL-based query and data retrieval for performance and scalability, and implement data lineage, governance, and risk mitigation aligned to regulatory requirements. Collaborate with cross-functional teams to translate business needs into scalable graph-based technical solutions, while mentoring development teams on knowledge graph best practices.

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Design, develop, and implement Knowledge Graph solutions using ontologies, LPG, and RDF for enterprise metadata management.
•Define and maintain enterprise ontologies aligned with business domains and data architecture standards.
•Architect data models and graph schemas to support complex business use cases, including data lineage and governance.
•Optimize graph queries and data retrieval mechanisms for performance and scalability.
•Provide technical guidance and mentorship to development teams on Knowledge Graph best practices, including implementing controls for regulatory compliance.

Key Requirements

•7+ years of relevant technical experience in enterprise software development with a strong focus on Knowledge Graph technologies.
•Deep expertise in Knowledge Graph technologies, including ontology design, Labeled Property Graphs (LPG), and RDF (Resource Description Framework).
•Hands-on experience with graph databases such as Neo4j, Amazon Neptune, or RDF4J.
•Expert-level understanding of semantic web technologies including SPARQL, OWL, RDFS, and graph database optimization techniques.
•Extensive experience in metadata management, data lineage, data governance, and data quality frameworks; proficiency in Python or Java for graph data processing and querying.

Experience:7+ years

Skills:CollaborationTechnical guidanceMentorshipRisk mitigationProblem-solving

Tech Stack:Knowledge GraphOntologiesLabeled Property Graphs (LPG)RDFSPARQLOWLRDFSNeo4jAmazon NeptuneRDF4JSemantic webGraph databasesData lineageData governanceMetadata managementPythonJavaAgileSDLC

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

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HSBC

3 weeks ago

Knowledge Graph, Graph DB, Python/Senior Consultant Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Design, develop, and implement Knowledge Graph solutions using ontologies, LPG, and RDF for enterprise metadata management.
•Define and maintain enterprise ontologies aligned with business domains and data architecture standards.
•Architect data models and graph schemas to support complex business use cases, including data lineage and governance.
•Optimize graph queries and data retrieval mechanisms for performance and scalability.
•Provide technical guidance and mentorship to development teams on Knowledge Graph best practices, including implementing controls for regulatory compliance.

Key Requirements

•7+ years of relevant technical experience in enterprise software development with a strong focus on Knowledge Graph technologies.
•Deep expertise in Knowledge Graph technologies, including ontology design, Labeled Property Graphs (LPG), and RDF (Resource Description Framework).
•Hands-on experience with graph databases such as Neo4j, Amazon Neptune, or RDF4J.
•Expert-level understanding of semantic web technologies including SPARQL, OWL, RDFS, and graph database optimization techniques.
•Extensive experience in metadata management, data lineage, data governance, and data quality frameworks; proficiency in Python or Java for graph data processing and querying.

Experience:7+ years

Skills:CollaborationTechnical guidanceMentorshipRisk mitigationProblem-solving

Tech Stack:Knowledge GraphOntologiesLabeled Property Graphs (LPG)RDFSPARQLOWLRDFSNeo4jAmazon NeptuneRDF4JSemantic webGraph databasesData lineageData governanceMetadata managementPythonJavaAgileSDLC

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn