Engineering Analytics - Lead Engineer, Smart DC

Responsibilities

• UI Development: Build and enhance user interfaces using ReactJS (or FJS) with a focus on modern, intuitive, and responsive design
• Data Pipeline Ownership: Own the complete data acquisition pipeline including:
  • IoT modules
  • Azure IoT Hub & Event Hub
  • Data Bricks cluster (data processing & transformations)
  • Distributed Postgres/Citus database clusters for storage
• API Development: Design, develop, and maintain scalable RESTful/GraphQL APIs.
• Full Software Development Lifecycle (SDLC) Ownership: Take responsibility for the end-to-end lifecycle of components — from requirements, design, coding, testing, deployment, and support
• Quality & Best Practices:
  • Follow DevOps and software engineering best practices
  • Write and maintain unit, integration, system, and end-to-end tests
  • Participate in and respect the code review process
• Collaborative: Ability to work collaboratively with Subject Matter Experts (SMEs), architects as well as other developers in the gathering of requirements and explanation of technical solutions
• Product Mindset: Focus on delivering core product value rather than standalone solutions

Job Requirements

• Proven 6 - 8 years of experience as a full stack and analytical engineer with ownership of production-grade systems
• Strong hands-on skills in:
  • ReactJS (or similar modern JS frameworks)
  • Backend development (Node.js, Python, or equivalent)
  • IoT integration and Azure IoT Hub/Event Hub
  • Data engineering (Data Bricks, data pipelines, distributed databases such as Postgres/Citus)
  • Strong understanding of distributed systems, scalability, and data modeling
  • Strong knowledge of DevOps practices: CI/CD, monitoring, automated testing
• Excellent problem-solving, debugging, communication skills and ownership mindset — where selected candidate takes responsibility for UI, APIs, and data pipelines from start to finish
• Experience with predictive intelligence, anomaly detection, or IoT data systems, familiarity with cloud-native design (Azure or multi-cloud) and/or contributions to open-source projects/ prior experience in start-up like environment, is preferred