Description

You will build and maintain graph data architectures for telecom network systems, focusing on semantic web technologies and real-time data integration.

This role is on-site.

Responsibilities

• Design and implement graph schemas using SPARQL, RDF, and OWL standards.
• Develop data pipelines and visualizations using Python, JavaScript, and SQL.
• Integrate graph databases with OSS/BSS systems, CMDBs, and network inventory tools.
• Build event-driven architectures using Kafka and REST APIs for real-time processing.
• Apply domain knowledge of telecom service fulfilment and network architecture to data models.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Proficiency with graph databases, specifically Neo4j or Stardog.
• Strong command of SPARQL, RDF, and OWL semantic web technologies.
• Experience with Python and SQL for data processing.
• Ability to write JavaScript for data visualization components.
• Familiarity with Kafka and REST APIs for event-driven architectures.
• Understanding of CMDB and telecom network inventory systems.

Preferred Skills

• Experience with EXFO Ontology or PRONTO frameworks.
• Knowledge of telecom service provisioning and activation workflows.

Key Skills

Education

Bachelor's degree