Responsibilities
· To design, build and test in the deployment and operation phases of the Enterprise Data Platform for current and future projects.
· Review, construct or re-structure, test and maintain data architecture
· Review and establish best practices for data management, reporting and security
· Improve data foundational procedures, guidelines and standards
· Evaluate datasets and identify ways to improve data reliability, efficiency and quality
· Comprehend, design, acquire and manage organizational datasets that support analytics to achieve business goals
· Optimize data retrieval to facilitate development of dashboards and other visualizations for stakeholders
· Prepare fundamental data for prescriptive and predictive modeling
· Coordinate with CapitaLand’s infrastructure teams to complete planned tasks and problem-solving where necessary
· Support data management projects when needed and perform additional data related tasks
Requirements
· Degree in Computer Science, Computer Engineering or other relevant technical disciplines
· At least 3 years of data engineering or software engineering experience
· Experience in object-oriented design, coding and test patterns as well as experience in engineering software platforms and large-scale data infrastructure
· In-depth knowledge of data modelling and understanding of different data structures, benefits and limitations under particular used cases
· Hands-on working experience with big data systems
· Extensive knowledge in different programming or scripting languages
· Experienced in Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Data Quality, Master Data Services, Power BI)
· Possesses 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
