Work on the development of conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL / NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Knowledge of data modelling and Metadata technologies and methods of storing reference data and definitions
Experience in linking conceptual, logical, and physical models to provide a tangible value to the business
Maintain strict governance and standards on the usage of transaction data and models
Work with business stakeholders and application / solution teams to implement data strategies, build data flows, and develop conceptual / logical / physical data models
Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.
Strong knowledge in writing SQL to query database
Experience in data integration with applications
Business / technical experience in datawarehouse project
Experience in data modelling and design
Experience in banking / financial industry is a plus
Candidate must be a fast learner
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