Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton 5. Telecommunication The Data Engineer skill is required to enable the data lifecycle within EDS, namely
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton 5. Telecommunication The Data Engineer skill is required to enable the data lifecycle within EDS, namely
Manage Geospatial Data Supporting the geology team by managing the Geospatial data across various projects projects Create geologically accurate maps and data Quality Control Training A Honours degree in Geology spatial databases. Experience of capturing, collating and managing spatial data. Experience of cataloguing cataloguing and organizing raster data. Knowledge of standard QAQC reporting methods. Preferably you will have: suite Experience of capturing, collating and managing spatial data and Raster Data Technical Skills should
Manage Geospatial Data Supporting the geology team by managing the Geospatial data across various projects projects Create geologically accurate maps and data Quality Control Training A Honours degree in Geology spatial databases. Experience of capturing, collating and managing spatial data. Experience of cataloguing cataloguing and organizing raster data. Knowledge of standard QAQC reporting methods. Preferably you will have: suite Experience of capturing, collating and managing spatial data and Raster Data Technical Skills should
to the team to ensure efficient running of the office.
Business Analyst to jion their team. Requirements Capture Investigate, record, analyze and confirm system roadmap with business owners Support decisions using a data driven approach Define solution acceptance criteria
provide meaningful analytics and insights, integrating data from various internal and external platforms and including online testing of business data collected from the data warehouse and various business systems to further support business Extract and analyse data, identifying trends in systems and applications currently and predict future forecasts Create and apply data management solutions that are relevant and provide provide information for the business to ensure the data adds value to the operations and that the business
branch network. • Data mapping and management, MIS (Qlikview /nPrinting– multiple data sources); Power troubleshooting, debugging, ensuring quality assurance on data. • Streamlining of processes and procedures, ensuring Role Level Access/Security – ensuring data security. • Automated data distribution. • Daily, monthly, quarterly Competencies • Previous experience working with Azure Data Factory required. • Comfortable working within a be comfortable configuring systems and analysing data. • Self - motivated to ensure personal and professional
be comfortable configuring systems and analyzing data.