Data Engineer

As a Data Engineer, you will design, build, and maintain enterprise data platforms that support AI-driven products and analytics initiatives. You will work closely with Data Scientists, Architects, AI Engineers, and business stakeholders to develop robust data pipelines, digital twin platforms, knowledge graphs, and AI-ready data architectures.

• Design and implement data source connectors for telemetry, topology, intent, ITSM, knowledge repositories, and enterprise applications.
• Build ingestion, validation, replay, and data contract frameworks for large-scale data onboarding.
• Develop ingestion and topology mapping capabilities to transform raw telemetry into incident-aware datasets.
• Design, develop, and maintain Network Digital Twin and topology graph platforms.
• Build and manage Knowledge Graphs, ontology frameworks, entity relationships, and semantic data models.
• Develop reusable Feature Engineering Frameworks and Feature Store capabilities for AI/ML applications.
• Enable data foundations for RAG, GraphRAG, Vector Databases, and AI Agent frameworks.
• Develop and optimize data pipelines for model training, deployment, monitoring, and lifecycle management.
• Implement metadata management, lineage tracking, observability, security, auditing, and governance frameworks.
• Support integrations with AI reasoning engines, recommendation systems, and agent orchestration platforms.
  • Collaborate with cross-functional teams to deliver scalable, enterprise-grade AI and analytics solutions.