Responsibilities
- Build 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, and etc.
- Solve technical challenges posted to the Enterprise Data Platform from huge volume and velocity and business compliexity
- Collaborate with CapitaLand's infrastructure, Business Analyst and 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
- Any other ad-hoc duties as assigned by supervisor
Requirements
- Experience in data warehouse, data application or business intelligence product development
- Programming skills in SQL, Python, and Spark
- Hands-on experience in dashboard development with PowerBI
- Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Power BI)
- Good collaboration and communication skills to work effectively across teams and partner with business stakeholders
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.
