Data Engineer - Gauteng Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: Specification: The Data Engineer will have a knack for data analysis, data manipulation, and data modelling. experience as a Data Engineer / Database Developer. Experience in data mining, large scale data modelling and working experience in data integration and transformation. Experience implementing data modelling methodologies Modelling and / or Data Vault. Working knowledge of data quality processes and master data management. Experience
Technical/Solution Goals
Beneficial
We are currently seeking a skilled Data Analyst to join our team. In this role, you'll you'll play a crucial part in analyzing data to provide valuable insights that drive business decisions Business Intelligence Data Analyst Africa during time of absence.
goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Conduct research and allocate physical data storage for database systems. Plan and coordinate data migrations between systems experience. Experience in DB2 LUW data base technology and tools (Data Server Manager) Experience in troubleshooting knowledge and implementation skills of applicable data privacy practices and laws
: To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated analytics will collaborate with other departments to design data strategies, build models, and embed those models models into software-driven business processes Data Analysis and Modelling: - Develop and deploy machine learning processes. - Conduct in-depth data analysis, data exploration, and data pre-processing to extract valuable
Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
Title: DATA MODELLER -FIN SURV Purpose of the job: To lead, define and drive the improvement of data modelling modelling and development of data maturity standards within Financial Surveillance Department (FNSD) to design, implementation, and documentation of ISO20022 data modelling solutions which include but not limited databases. Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the guidelines, processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure
have a remote opportunity available for a talented Data Engineer on a permanent basis for one of our clients Mining related data, ETL, cloud platforms (preferably Azure), programming skills, and big data technologies responsible for building and maintaining scalable data pipelines and processing systems that will be used vast data sources. Responsibilities: Develop and maintain data pipelines, ETL processes and data integration systems and data. Collaborate with Data Scientist, Analysts and other stakeholders. Ensure data quality and
end-to-end process of loading and maintaining pricing data in the Trusted Price Dashboard to provide the Foods truth for Foods Pricing data Collect, prepare and maintain pricing source data as input to the Pricing ensuring that all relevant teams are aware of any data integrity issues which may affect price reporting applicable, to update and maintain Category pricing data in line with the Foods Pricing strategy and architecture of accuracy. Able to work with large volumes of data. High degree of commercial awareness and can make