Description
Data Management & Transformation Design, develop, and maintain scalable data pipelines integrating data from a variety of business applications, databases, and external sources. Implement data quality controls and validation processes to ensure data accuracy, consistency, completeness, and reliability. Perform data transformation, cleansing, aggregation, filtering, and enrichment to support business and analytical requirements.
Establish and maintain appropriate governance practices for data, analytical models, and automated decision-making processes. Develop and maintain logical and physical data models, including data structures, relationships, and business rules. Ensure data platforms and solutions adhere to relevant security, governance, and compliance standards.
Platform Optimisation & Automation Develop and maintain automated deployment and integration processes for data solutions and cloud-based infrastructure. Optimise data pipelines, processing workflows, and data models for performance, scalability, reliability, and cost efficiency. Monitor and optimise data processing and storage capacity, including capacity planning and forecasting.
Identify and resolve system and query performance issues through appropriate tuning, optimisation, caching, indexing, and other techniques. Monitor platform utilisation and implement appropriate housekeeping and cost-management practices. Support the deployment, integration, and ongoing operation of advanced analytics and AI/ML solutio
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