Data Engineer Associate 2

Overall governance • Ensure understanding of data management policies, standards, and work procedures, to provide guidelines to junior members. • Support periodic revision of policies, standards, guidelines, work processes and procedures that are relevant to data engineering work, to ensure efficient operation and alignment with company’s policies & compliance with relevant governance. Function-related accountabilities • Assist senior members in developing strategy for data platform architecture to ensure effective data infrastructure to support business functions to achieve its goals and targets in terms of data-driven decisions. • Supervise multiple structured and unstructured data gathering from various sources that align with business requirements, in order to ensure completeness of information for analyzing prescriptive statistics and predictive modeling. • Perform activities in data processing, including developing, testing, and maintaining database pipeline architectures required for extraction, transformation, and loading of data from a wide variety of data sources to ensure useful, actionable data availability for utilization by relevant stakeholders. • Build API integrations to support continuing increases in data volume and complexity to ensure data flow smoothly and efficiently. • Develop new data validation methods to enhance data quality and reliability, as well as to ensure compliance with data governance and security-related policies. • Implement processes and systems to monitor data quality in order to ensure data availability and accuracy for utilization. • Identify, design, and implement internal process improvement, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. • Improve database query performance to improve end-user querying and report generation. • Provide knowledge sharing about data technology to employees across business hubs to strengthen employees' abilities in data and technology utilization. • Coordinate key issues/ matters with stakeholders including management teams and other relevant functions to assist with data-related technical issues and support data infrastructure needs. • Supervise junior members in collaborating with analytics and strategy teams to enhance and streamline business intelligence tools, in order to ensure that high-quality data can be used to support business decisions effectively. • Keep abreast of new developments in the big data ecosystem, learn new data-related technologies, and able to recommend the application of new technology where appropriate to maximize WHA's benefits in terms of data utilization.