Diploma or Bachelor's Degree in Project Management, Construction Management, Engineering, Interior Design, Architecture, Building Technology, or related fields.
Minimum 2 years of experience in project coordination, project execution, construction, interior fit-out, or related industries.
Experience in site supervision, project scheduling, and contractor management.
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Minimum Bachelor Degree in GIS, Software Engineering, or related field
Basic proficiency in programming languages such as Python and JavaScript
Hands-on experience with the Esri ArcGIS platform, including ArcGIS Pro, ArcGIS Enterprise (Server, Portal, Data Store,Web Adaptor), and ArcGIS Online
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Diploma or Bachelor’s Degree in Business Administration, Supply Chain Management, Procurement, Interior Design, Quantity Surveying, Logistics, or related fields.
Minimum 3–5 years of experience in procurement, purchasing, sales support, or project coordination.
Experience with China suppliers and import/export coordination is an advantage.
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AutoCAD
Building Information Modeling (BIM)
Revit
• Able to read and understand construction
architectural and M&E/MEP drawings.
• Experience in ICT infrastructure
structured cabling
ELV
telecommunications
data centers or building services
Attention to Detail
Problem-Solving
Bachelor's degree in Industrial Engineering, Supply Chain Management, Logistics Engineering, Mechanical Engineering, or a related engineering field from an accredited institution.
Master's degree in a relevant field (e.g., Supply Chain Management, Operations Research) is a plus.
Proven experience in logistics, supply chain, or operations engineering within a manufacturing environment.
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• Your profile 8-10 years' experience in designing, building, managing, and maintaining large-scale data solutions across diverse industries.
• Expert-level proficiency in SQL, data modelling concepts, analytics and implementation methods, with a proven ability to apply these skills in complex data environments.
• In-depth knowledge of cloud computing platforms, particularly Azure, and key data components including Azure Data Factory, Databricks and PySpark, Azure Synapse, and dbt.
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