Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
Design and develop data pipelines/systems for data modelling, mining and production
Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
PL/SQL and SQL Tuning and optimization of newly develop and existing applications
Flexibility for critical issues: Exhibit flexibility ...
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