lifecycle The Data Engineer is responsible for extracting and transforming data from source systems, understanding Develop and test architectures that enable data extraction and transformation for predictive or prescriptive batch and real-time processing. Experience in extracting value and features from large scale data and
and control expertise. Matric plus a degree in Metallurgy or similar field and around 10 years' experience
Applications. Have a high level of competency with data extraction, transformation and loading (ETL) disciplines
Develop and test architectures that enable data extraction and transformation for predictive or prescriptive batch and real-time processing • Experience in extracting value and features from large scale data and Develop and test architectures that enable data extraction and transformation for predictive or prescriptive batch and real-time processing • Experience in extracting value and features from large scale data and
Develop and test architectures that enable data extraction and transformation for predictive or prescriptive batch and real-time processing • Experience in extracting value and features from large scale data and Develop and test architectures that enable data extraction and transformation for predictive or prescriptive batch and real-time processing • Experience in extracting value and features from large scale data and
machine learning, and data mining techniques to extract trends, patterns and insights from structured and
Applications. The ability to Analyze data and extract trends to ensure improvement of processes and or
analyze company reports (financial statements) to extract key insights on profitability, financial health
analytical models, with a demonstrated ability to extract appropriate data to convey complex information
analytical models, with a demonstrated ability to extract appropriate data to convey complex information