Job Responsibilities

• Design and optimise scalable data workflows with subject matter expertise in data loading patterns, data architecture etc.
• Develop and maintain robust data pipelines that support both real-time and batch processing
• Extract and integrate data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer.
• Leverage on SQL to ensure efficient data transformation and analytics
• Implement data modelling best practices to support AI/ML applications, including schema design, partitioning strategies and indexing for performance optimisation
• Integrate diverse data sources (e.g. structured, semi-structured and unstructured) into unified data architectures that power AI-driven applications and insights
• Train advanced models and algorithms suitable for business use – Models include computer...