Accountabilities: Lead the end-to-end development and implementation of the company’s data platform, including requirements analysis, architecture design, coding, testing, iterative development, deployment, and ongoing enhancement. Deliver full-stack solutions to ensure the platform operates reliably and efficiently Process and integrate data from multiple business sources, including data collection, cleansing, integration, transformation, and structuring. Address data fragmentation, duplication, and inconsistency, and establish standardized data structures to support business operations and decision-making Perform in-depth data analysis and computation.
Develop data models and analytical solutions aligned with business needs, including performance metrics, statistical analysis, trend analysis, and anomaly detection. Translate data into actionable insights to support business improvement and decision-making Design, develop, optimize, and maintain databases independently. Plan database architecture, schemas, indexes, and storage strategies according to business and data-volume requirements.
Perform routine maintenance, backup, troubleshooting, and performance tuning to ensure secure, reliable, and efficient data access Continuously enhance the data platform by developing new features, addressing system vulnerabilities and technical issues, and improving the efficiency of data processing, computation, and querying to meet evolving business needs Provide data and technical suppo