Ensure Building Management Systems (BMS), Environmental Monitoring Systems (EMS), DCIM tools and IoT monitoring devices are functioning accurately and reliably.
Design, develop, and build data analytics and AI solutions with the following key technologies: Python web frameworks (Flask, FastAPI), Apache Spark, Oracle database and Linux.
Perform and coordinate restore activities for business‑critical systems and applications, including support during disaster recovery tests and real incidents.
Perform and coordinate restore activities for business‑critical systems and applications, including support during disaster recovery tests and real incidents.
Develop reusable data science workflows, feature engineering logic, model training pipelines and evaluation frameworks to improve scalability and repeatability.
Stay current with emerging technologies and proactively introduce modern engineering capabilities (microservices, containerization, APIs, DevSecOps, data engineering practices, etc.).
Collaborate with the internal Development and Design team to drive the safety and quality standards and global best practices to meet Singtel internal and customer’s requirements.
Templating and configuration generation: Create and maintain configuration templates (Jinja2 or similar) that generate device-specific configs from structured inputs, ensuring consistency and reducing human error.
Data Lake Support: Serve as the primary contact for data-related inquiries, including ETL incident management, reporting challenges, and providing actionable insights.
Working on client site to deliver change initiatives for leading clients across financial services, including investment banking, retail banking, technology, wealth, and insurance.
Managing critical interfaces and project lifecycles: Coordinating with internal teams and external stakeholders (consultants, contractors, operators) to resolve technical gaps while maintaining a sharp focus on safety, risk management, and long-term efficiency.