Design and optimize 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 optimization
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 ...
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