Phakisa Holdings are looking for Admin Clerk - Pretoria R45.43 Per Hour Pallets & Crates Weekly pallet
and IT Methodology processes is recruiting for a Data Scientist – AI Platform to offer a deep insight
SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such Kusto Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
Phakisa Holdings are looking for Admin Clerk - Pretoria R45.43 Per Hour Pallets & Crates Weekly pallet
JAVA, Azure, Cloud is looking for an Azure Data Engineer. The unique positioning gives maintaining Big Data Pipelines using Data Platforms
administration for the Section and the Commission Capture general operational information electronically
administration for the Section and the Commission Capture general operational information electronically
months fixed term contract and contribute to their data-driven approach to financial management and decision-making of financial data. The ideal candidate will possess a strong background in finance, data analysis, and Qlik. Collaborate with finance teams to understand data needs and provide actionable insights to support decision-making. Design and implement data models, ETL processes, and data warehouses to facilitate comprehensive regular data validation and quality checks to ensure the accuracy and integrity of financial data. Provide
every 6 months to determine development needs All admin duties relating to completion of an audit file.
(Identification of data sources internally as well as externally to the industry, Daily data collection from Clean-up (Facilitation of data clean-up, Importation of data sets where applicable, Data Quality assurance) threats and risks with the objective to predict future data trends and develop counter measures and best practices