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Urgent! Engineering Analytics - Lead Engineer, Smart DC Job Opening In Singapore, Singapore – Now Hiring Keppel Corporation
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
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Unlock Your Engineering Analytics Potential: Insight & Career Growth Guide
Real-time Engineering Analytics Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Engineering Analytics in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3966 jobs in Singapore and 3549 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Engineering Analytics roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Keppel Corporation is currently hiring and seeking a Engineering Analytics Lead Engineer, Smart DC to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Engineering Analytics Lead Engineer, Smart DC Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Keppel Corporation adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Engineering Analytics Lead Engineer, Smart DC Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Engineering Analytics Lead Engineer, Smart DC typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Engineering Analytics Lead Engineer, Smart DC interview at Keppel Corporation, research the company, understand the job requirements, and practice common interview questions.
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