Data Scientist

Wipro; Bengaluru, New Delhi, Hyderabad; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

Wipro seeks a Security Knowledge Graph Specialist to design, build, and optimize cybersecurity knowledge graphs that provide contextual intelligence across enterprise security ecosystems. You will integrate data from SIEM, IAM, CMDB, and Threat Intelligence to enable advanced threat detection and AI-driven security analytics.

Responsibilities include developing ontologies, modeling relationships, and enabling risk scoring, asset discovery, and contextual insights.

Formación

• Experience building enterprise-scale cybersecurity knowledge graphs.
• Experience integrating data from SIEM, threat intelligence, IAM, and vulnerability management.
• Proficient in RDF, OWL, SPARQL and data modeling.
• Familiar with Zero Trust and MITRE ATT&CK frameworks.

Responsabilidades

• Design and develop enterprise-scale Security Knowledge Graphs.
• Create ontologies, schemas, and graph data models for cybersecurity domains.
• Integrate data from SIEM, SOAR, IAM, CMDB, Vulnerability Management, Threat Intelligence, and Security Operations platforms.
• Build graph-based threat hunting and attack path analysis solutions.
• Develop AI-driven security insights using graph analytics.
• Enable cyber asset discovery, risk scoring, and contextual security intelligence.
• Collaborate with SOC, Threat Intelligence, IAM, and Security Architecture teams.

Conocimientos

Security domain expertise

Graph analytics

AI & analytics

Threat intelligence

Herramientas

Neo4j

TigerGraph

Amazon Neptune

GraphDB

Apache Jena

RDF/OWL/SPARQL

Descripción del empleo

We are looking for a Security Knowledge Graph Specialist to build, maintain, and optimize cybersecurity knowledge graphs that provide contextual intelligence across enterprise security ecosystems. The role involves integrating security data, modeling relationships, and enabling advanced threat detection and AI-driven security analytics.

Key Responsibilities

• Design and develop enterprise-scale Security Knowledge Graphs.
• Create ontologies, schemas, and graph data models for cybersecurity domains.
• Integrate data from SIEM, SOAR, IAM, CMDB, Vulnerability Management, Threat Intelligence, and Security Operations platforms.
• Build graph-based threat hunting and attack path analysis solutions.
• Develop AI-driven security insights using graph analytics.
• Enable cyber asset discovery, risk scoring, and contextual security intelligence.
• Collaborate with SOC, Threat Intelligence, IAM, and Security Architecture teams.

Required Skills

Graph Technologies

• Neo4j
• TigerGraph
• Amazon Neptune
• GraphDB
• Apache Jena
• RDF, OWL, SPARQL

Cybersecurity

• SIEM (Splunk, Sentinel, QRadar)
• Threat Intelligence Platforms
• MITRE ATT&CK Framework
• Cyber Kill Chain
• Vulnerability Management
• IAM/PAM

Programming & Data

• Python
• Cypher Query Language
• SQL
• Data Modeling
• ETL/ELT Pipelines

AI & Analytics (Preferred)

• Graph Neural Networks (GNN)
• Network Analysis
• Knowledge Representation
• Generative AI for Security
• LLM-powered Security Assistants

Preferred Qualifications

• Experience building Cybersecurity Knowledge Graphs.
• Understanding of Zero Trust Architecture.
• Certifications such as CISSP, Security+, CEH, Azure Security Engineer, or Neo4j Certified Professional.
• Experience in large-scale enterprise security transformation programs.