Oracle Property Graph Database Specialist
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Job Summary
Full time position
Design and develop scalable graph data models (nodes edges properties) based on network architecture and system relationships.
Implement and manage Oracle Property Graph solutions within the Oracle Database ecosystem.
Convert relational and network data into graph structures for advanced analytics.
Develop and optimize graph queries using PGQL (Property Graph Query Language)
Analyze and interpret network topology connectivity and dependencies using graph techniques.
Collaborate with data architects DBAs and application teams to integrate graph solutions.
Ensure performance tuning scalability and efficient data processing for large graph datasets.
Support data migration transformation and validation processes.
Provide technical guidance and best practices for graph-based implementations.
Required Skills & Qualifications
79 years of strong experience in Oracle Database development and administration.
Hands-on experience with Oracle Property Graph and related tools (Graph Server Graph Studio).
Strong expertise in SQL PL/SQL and Oracle data architecture.
Proven experience in data modeling including translating relational models into graph models.
Experience working with network-based data structures (telecom infrastructure or similar domains).
Strong understanding of graph concepts such as traversal pathfinding and relationship analysis.
Ability to design efficient and scalable graph schemas.
Required Skills:
Key Responsibilities Design and develop scalable graph data models (nodes edges properties) based on network architecture and system relationships. Implement and manage Oracle Property Graph solutions within the Oracle Database ecosystem. Convert relational and network data into graph structures for advanced analytics. Develop and optimize graph queries using PGQL (Property Graph Query Language) Analyze and interpret network topology connectivity and dependencies using graph techniques. Collaborate with data architects DBAs and application teams to integrate graph solutions. Ensure performance tuning scalability and efficient data processing for large graph datasets. Support data migration transformation and validation processes. Provide technical guidance and best practices for graph-based implementations.
