- Responsible for data analysis and generate reports for estate sub-system performance.
- Develop data set processes.
- Develop analytics programs, machine learning algorithms, and use statistical methods to make raw data useful for smart estate application.
- Extracting data from existing Building Management Systems using BACnet and Modbus protocol.
- Design ETL pipelines to transform raw data into a format suitable for analysis.
- Maintain and improve data aggregation and ingestion through .NET and Python.
- Identify ways to improve data reliability, efficiency and quality.
- Monitor compliance to project requirement, performance standards and specifications.
- Perform overall quality control of the work and report regularly on project status.
- Cooperate and communicate effectively with product development and operation team for implementation.
- Bachelor's Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.
- Minimum 1 year of work experience in data engineering for a diverse range of projects
- Strong in Python, MSSQL and PostgreSQL programming.
- Solid data science knowledge, good data management knowledge.
- Knowledge in BMS communication protocols (BACnet and Modbus) is preferred.
- Knowledge in Data Management, ETL is preferred.
- Strong logical and analytic skills.
- Able to work comfortably and independently in a fast-paced environment.
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1 week ago
Description
Roles & ResponsibilitiesJob Responsibilities:
Job Requirements
Machine Learning
BACnet
MSSQL
Quality Control
.NET
Data Analysis
PostgreSQL
Data Modeling
Pipelines
Hadoop
Data Management
ETL
Information Technology
Data Engineering
SQL
Python
Modbus
Data Science
Databases
Building Management Systems