Responsibilities
• Work with stakeholders including the Executive, Product, Data and Operation teams to support their data infrastructure needs by assisting with data-related technical issues
• Design and develop end-to-end ETL development on context of turning raw data into insight, in order to support the great functionality in the data service system, such as analytical environment, Business Intelligence (BI) solutions, requests/responses application (API), and external data feeds,
• Identify opportunities on data acquisition to enrich our knowledge of customer or business
• Control data security and PDPA along the process of data exchange with peripheral systems as well as explore ways to enhance data quality and reliability
• Conduct complex data analysis to provide actionable insight into key business performance metrics including revenue growth, cost reduction, and operational efficiency
Qualification:
• Master’s degree or higher in Computer Engineer, Computer Science, Information Technology or a related field
• 5 years direct experiences in Data Engineer or in a similar role
• Advanced working database knowledge and basic programming are required
o Programming languages e.g. Python, R
o Data ingestion tools e.g. Kafka, Sqoop
o Data storage platforms/tools e.g. InterSystems IRIS, MongoDB, MySQL, Microsoft SQL Server
o Cloud computing/Virtual Machine e.g. AWS, GCP, Azure
o ETL tools e.g. Pentaho, Talend, Denodo
o Scheduling tools e.g. Airflow, UNIX operating system & Shell Script
• Working experience of data virtualization, data mining principles, data mapping, collecting data from multiple data sources both on-premises and cloud-based would be an advantage
• Working experience in healthcare industry and others are welcome
• Strong communication skills (verbal and written), including the ability to effectively communicate with both technical and non-technical teams