If you're excited about working with AI-driven technology in the data centre realm, then here is your chance to join our team as a Data Interface Engineer. With your expertise in Data Center Energy Optimization and familiarity with RDA DCverse (AI-driven) technology, you'll have the opportunity to gain hands-on experience in this dynamic field.
What you will be doing
- Spearhead the development and seamless implementation of the data and model interface for the AI/Data Twin platform, facilitating efficient communication and integration with Internet of Things (IoT) and/or Building Management Systems (BMS) systems.
- Collaborate closely with cross-functional teams to design and deploy a robust interface that effectively gathers, processes, and analyzes data from diverse sources, ensuring the AI/Data Twin platform operates with precision and accuracy.
- Utilize advanced data integration techniques to harmonize disparate data streams from IoT sensors and BMS systems for data consumption by AI engine.
- Drive innovation by exploring and implementing technologies, methodologies and approach to enhance the performance, scalability, and adaptability of the data interface.
- Continuously monitor and optimize the data interface's performance, conducting thorough testing and validation to validate functionality, reliability, and security standards.
- Collaborate with stakeholders to gather requirements, define project scope, and prioritize development tasks, ensuring alignment with organizational objectives and user needs.
What do you require
- Bachelor’s or Master’s degree in Computer Science, Automation, or a related field, with a solid foundation in data management, analytics, and system integration.
- Proven experience in developing and implementing data interfaces for complex systems, with a focus on AI/Data Twin platforms and integration with IoT and/or BMS systems.
- Proficiency in programming languages such as Python, Java, or C++, coupled with expertise in data modeling, API development, and database management systems.
- Strong understanding of IoT and BMS technologies, protocols, and standards, with hands-on experience in interfacing with sensors, actuators, and control systems.
- Familiarity with machine learning algorithms, statistical analysis, and data visualization techniques, enabling the extraction from large datasets.
- Excellent problem-solving skills, with the ability to troubleshoot technical issues, identify root causes, and implement effective solutions in a timely manner.
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment and engage with stakeholders at all levels of the organization.
- Proactive mindset, with a passion for learning and staying abreast of emerging technologies, industry trends, and best practices in data management and system integration.
Collaborative and flexible working environment
Career Development and Progression
