About Us
CapitaLand Limited (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered and listed in Singapore, it owns and manages a global portfolio worth about S$134.7 billion as at 30 June 2020. CapitaLand’s portfolio spans across diversified real estate classes which includes commercial, retail; business park, industrial and logistics; integrated development, urban development; as well as lodging and residential. With a presence across more than 220 cities in over 30 countries, the Group focuses on Singapore and China as its core markets, while it continues to expand in markets such as India, Vietnam, Australia, Europe, and the USA.
Office Location: 615 Toa Payoh Lorong 4, #07-00 StorHub, Singapore 319457
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, etc.
- Solve technical challenges posted to the Enterprise Data Platform in huge volume, velocity, and business complexity
- Collaborate with CapitaLand’s 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
- Degree in Computer Science, Engineering, or other relevant technical disciplines
- 1-3 years of experience in data engineering or software engineering
- Strong understanding of SQL and Data Warehouse Model
- Familiar with at least one of the following programming languages: Python, Scala, Java, or any other object-oriented languages
- Possess a strong willingness to learn on the job continuously, embracing new and varied technologies that are centered around all aspects of data management
- Strong interpersonal and communication skills, can-do attitude, and willingness to perform hands-on work is necessary
- Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Power BI)
- Experience with Hive/Spark will be advantageous
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.
