About Us
Headquartered and listed in Singapore, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold. As at 30 June 2024, CLI had S$134 billion of assets under management, as well as S$100 billion of funds under management held via six listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in thematic and tactical strategies. Its diversified real estate asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage and data centres.
Job Description
The Data & AI department provides the end-to-end big data and analytics solutions and services for Business Units and Corporate Functions in CapitaLand. You will be part of the team to use data and generate insights to solve business questions. You will work closely with business users to understand their business needs and use data from both internal and external sources to address business questions. Business users will take on the transformed data and derive insights for decision making.
Responsibilities
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Build a robust and scalable Enterprise Data Platform for batch/real-time data processing
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Develop data processing pipelines for ingestion, modelling, analysis, mining and reporting with SQL, Spark, Python, etc
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Solve technical challenges posted to the Enterprise Data Platform in huge volume, velocity, and business complexity
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Provide Data Analyst and Data Science teams with Data Engineering support for analytical and machine learning use cases
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Collaborate with CapitaLand’s infrastructure to implement data governance and security best practices
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Support data management projects and perform additional data-related tasks as required
Requirements
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Preferred studies in Computer Science, Information Systems, Electronical Engineering, or related disciplines
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Strong programming experience in SQL, Python, or Java
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Possess a strong willingness to learn on the job continuously, embracing new and varied technologies that are centred around all aspects of data management
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Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Power BI)
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Experience with Hadoop, Hive and Spark will be advantageous
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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.
CapitaLand Singapore Office
168 Robinson Road, Capital Tower, Singapore, ,, Singapore, 068912
