Graph Data Engineer

Prophecy Technologies

$90K — $130K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6 years of relevant experience in graph data engineering or SPARQL development.
  • Technical expertise in SPARQL, RDF, OWL, and semantic web technologies.
  • Proficiency with graph databases like Stardog and Neo4j.
  • Strong skills in SQL, Python, and JavaScript for data processing and visualization.
  • Familiarity with EXFO Ontology (PRONTO).
  • Knowledge of OSS/BSS integration, CMDB, and network inventory management.
  • Understanding of event-driven and real-time data architectures.

Responsibilities

  • Develop and implement solutions using SPARQL and semantic web technologies.
  • Work extensively with graph databases such as Stardog and Neo4j.
  • Process and visualize data using SQL, Python, and JavaScript.
  • Apply deep domain knowledge in telecom network architecture.
  • Integrate OSS/BSS systems and manage CMDB.
  • Design event-driven and real-time data architectures with Kafka and REST APIs.
  • Utilize EXFO Ontology (PRONTO) for specialized applications.

Benefits

  • Opportunity to work with cutting-edge semantic web technologies.
  • Engagement in a dynamic telecom network architecture environment.
  • Possibility of leveraging innovative tools like Kafka and REST APIs.
  • Participation in the integration of complex systems and network management.
  • Experience in a tech-driven, evolving industry.
Full Job Description
Role Overview:

The role is for a Graph Data Engineer / SPARQL Developer, focusing on leveraging semantic web technologies and graph databases within a telecom network architecture context. This position involves working with service fulfillment, OSS/BSS integration, CMDB, network inventory, and event-driven, real-time data architectures.

Key Responsibilities:
  • Develop and implement solutions utilizing SPARQL, RDF, OWL, and other semantic web technologies.
  • Work extensively with graph databases such as Stardog and Neo4j.
  • Perform data processing and visualization using SQL, Python, and JavaScript.
  • Apply deep domain knowledge in telecom network architecture, including service fulfillment (provisioning and activation).
  • Integrate OSS/BSS systems, manage CMDB, and maintain network inventory.
  • Design and implement event-driven and real-time data architectures, including Kafka and REST APIs.
  • Utilize EXFO Ontology (PRONTO) for specialized applications.

Required Skills:
  • Technical expertise in SPARQL, RDF, OWL, and semantic web technologies.
  • Proficiency with Graph databases (e.g., Stardog, Neo4j).
  • Strong skills in SQL, Python, and JavaScript for data processing and visualization.
  • Familiarity with EXFO Ontology (PRONTO).
  • Domain knowledge in Telecom network architecture.
  • Experience with Service Fulfilment (Provisioning and Activation).
  • Understanding of OSS/BSS integration, CMDB, and network inventory.
  • Knowledge of Event-driven and real-time data architectures (Kafka, REST APIs).

Qualifications:
  • 4-6 years of relevant experience.

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