Description

Design and implement network inventory data models for resources and services, adhering to TMF standards while optimizing graph and relational structures for ML pipeline integration.

This role is on-site.

Responsibilities

• Develop network inventory data models for resources and services per TMF standards.
• Design graph database schemas using Neo4j or Amazon Neptune and optimize Cypher/GraphQL queries.
• Build and maintain relational data models using SQL and ER tools.
• Implement ETL processes and perform data profiling to ensure data quality.
• Design APIs to expose data models and support integration with ML pipelines.

Required Skills

• 5+ years of experience in data modeling, specifically with network inventory management.
• Proficiency in graph database modeling (Neo4j, Amazon Neptune) and query languages (Cypher, GraphQL).
• Strong skills in relational modeling, SQL, and ER tooling.
• Experience with ETL processes and data profiling techniques.
• API design experience for data exposure.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience deploying ML pipelines.

Preferred Skills

• Domain expertise in TMF standards for network inventory.

Key Skills

Education

Any Gradute