performance full stack applications; integrating AI models and solutions into existing and new platforms and Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
DESCRIPTION Key Responsibilities: • Prepares, transforms, models data and resolves conflicting sources of data and transformation for predictive or prescriptive modelling • Responsible for technical testing services across Backend) • Experience of relational and NoSQL data modelling approaches • Experience of at least one packaged packaged ETL tool • Technical expertise with data models, data mining, and segmentation techniques • Extensive Extensive hands-on experience with BW Data modelling and SQL database design • Data engineering certification
DESCRIPTION Key Responsibilities: • Prepares, transforms, models data and resolves conflicting sources of data and transformation for predictive or prescriptive modelling • Responsible for technical testing services across Backend) • Experience of relational and NoSQL data modelling approaches • Experience of at least one packaged packaged ETL tool • Technical expertise with data models, data mining, and segmentation techniques • Extensive Extensive hands-on experience with BW Data modelling and SQL database design • Data engineering certification
analysis Deal implementation Building investment models
Strong experience in valuations and financial modelling is a must.
Strong experience in valuations and financial modelling is a must.
enterprise (short term / long term) Conduct financial modelling Degree (e.g. Engineering, Business Management
Cape Town. This role will involve a hybrid working model, allowing for a combination of remote work and on-site
improvement, slopes stability, embankments, groundwater modelling and dewatering, deep excavations, earthquake engineering
support high performing ML algorithms, predictive models and support real-time data visualisation requirements Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance