Preferably minimum 5 years of working experience in the interior design, fit-out, or renovation industry, or a related field is required for this position.
Candidate must have initiative, responsible, hardworking and can work independently.
Good communication, self-motivated and interpersonal skill.
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residential renovation
interior design and Airbnb property transformation
creating attractive and functional spaces that balance design
budget and practicality.
Candidate must currently pursuing Degree or Diploma in Architecture, C&S, M&E, Construction Management, QS, Building Surveying or other related discipline.
Duration of internship must be minimum 3 month(s) or more.
Candidate must currently pursuing Degree or Diploma in Architecture, C&S, M&E, Construction Management, QS, Building Surveying or other related discipline.
Duration of internship must be minimum 3 month(s) or more.
Candidate must currently pursuing Degree or Diploma in Architecture, C&S, M&E, Construction Management, QS, Building Surveying or other related discipline.
Duration of internship must be minimum 3 month(s) or more.
Candidate must currently pursuing Degree or Diploma in Architecture, C&S, M&E, Construction Management, QS, Building Surveying or other related discipline.
Duration of internship must be minimum 3 month(s) or more.
Candidate must currently pursuing Degree or Diploma in Architecture, C&S, M&E, Construction Management, QS, Building Surveying or other related discipline.
Duration of internship must be minimum 3 month(s) or more.
Candidate must currently pursuing Degree or Diploma in Architecture, C&S, M&E, Construction Management, QS, Building Surveying or other related discipline.
Duration of internship must be minimum 3 month(s) or more.
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
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