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Engineering Analytics - Lead Engineer, Smart DC


KEPPEL DATA CENTRES HOLDING PTE. LTD.
24 days ago
Posted date
24 days ago
N/A
Minimum level
N/A
Full-timeEmployment type
Full-time
  • 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
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JOB SUMMARY
Engineering Analytics - Lead Engineer, Smart DC
KEPPEL DATA CENTRES HOLDING PTE. LTD.
Singapore
24 days ago
N/A
Full-time

Engineering Analytics - Lead Engineer, Smart DC