About Us
Headquartered and listed in Singapore, CapitaLand Investment Limited (CLI) is a leading global real estate investment manager (REIM) with a strong Asia foothold. As at 30 June 2023, CLI had S$134 billion of real estate assets under management, and S$89 billion of real estate funds under management (FUM) held via six listed real estate investment trusts and business trusts, and more than 30 private vehicles across Asia Pacific, Europe and USA. Its diversified real estate asset classes cover retail, office, lodging, business parks, industrial, logistics and data centres.
You will be assisting the Data & AI team in their day-to-day operations, business-as-usual (BAU) processes and other data-related tasks.
Responsibilities
Build a robust and scalable Enterprise Data Platform for batch/real-time data processing and machine learning model
Develop data processing pipelines for ingestion, modelling, analysis, mining and reporting with SQL, Spark, Python
Solve technical challenges posted to the Enterprise Data Platform
Collaborate with CapitaLand\xe2\x80\x99s Infrastructure, Business Analysts, and the Data Science team for data engineering support and development/deployment of machine learning models
Support data management projects when needed and perform additional data-related tasks
Requirements
Preferred studies in Computer Science, Information Systems, Electronical Engineering, or related disciplines
Strong programming experience in SQL, Python, or other programming language
Possess a strong willingness to learn on the job continuously, embracing new and varied technologies that are centered around all aspects of data management
Experience with Hadoop, Hive, and Spark will be advantageous
Good collaboration and communication skills to work effectively across teams and partner with business stakeholders
Closing Statement:
At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.
Only shortlisted candidates will be notified.
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