The ideal candidate will be excited to merge building services, HVAC mechanical engineering concepts with industry big data data analytic platforms and sematic modeling techniques to achieve energy savings in commercial buildings. Sound engineering fundamentals will be leveraged to develop and deploy automated fault diagnostic algorithms, energy and ESG KPIs (Environmental, Social, and Governance Key Performance Indicators)monitoring programs using available building systems data.

The candidate is expected to liaise with team members across these time zones regularly. The candidate will also be required to travel for project works within the APAC region occasionally.

Role & responsibilities :
Building Services or Mechanical Engineering Degree
HVAC Systems and Equipment
Energy Consumption, Carbon Emissions, ESG calculations
Knowledge of major Building Management Systems (JCI, Siemens, Schneider, Automated Logic, etc.)
Knowledge of Building Automation protocols (BACnet, Modbus, Lon Works, N2, etc.)
Data Analytics and Smart Building Knowledge
Experience with Sky spark data analytics
Axon and Fantom programming
Knowledge of Haystack or Brick schema semantic modeling
Knowledge of Tridium Niagara 4 framework
SQL database design and management-MS SQL Server, Azure Database Server




Data integration with other software via APIs
Hosted cloud data analytics server setup and maintenance
On-premise data analytics server setup and maintenance
Program and system testing, user acceptance testing
Software and system documentation
Networking Architecture and IT Experience
Experience with building services networking and system architecture diagrams
Experience with remote connections, Firewalls, basic networking concepts and hardware, etc.
Positive written, presentation, and interpersonal communication skills
Remote position requiring coordination with international team in US and Asia time zones.
English (Mandatory), Cantonese/Mandarin (Preferred)

Preferred candidate profile
BMS Design or Installation

2.Building Services System Integration 3.Facility Management Experience

4.Knowledge of Internet of Things (IOT) devices protocol and integration: MQTT, Zigbee, LoRa, Sigfox, BLE

5.REST API, SOAP API, SNMP

6.Computer Programming/ Data Science:
Python Data and ML Libraries: Pandas, NumPy, Matplotlib Scikit-learn, Keras, TensorFlow
Task automation and scripting
Operating Systems and Settings
Windows
Linux
Data Formats: Json, Zinc, Trio, XML, CSV

📌 Ei Consultant Bengaluru
🏢 NV5 Engineering
📍 Bengaluru