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
services throughout Technical Services Valuations Department,
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
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
gather data from internal systems to support financial data as reported in Pastel, analyse data from internal IFRS17 standard and application thereof, reconcile data between internal systems and Pastel, and integrate Gathering data from internal systems to support financial data as reported in Pastel; Analyse data from internal standard and application thereof; Reconciliation of data between internal systems and Pastel; Integration internal systems with Vena database; Formatting of Vena data to prepare it for the IFRS 17 system, "Risk Integrity";
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 • Ad-hoc reports. • Upskill across various departments, ensuring sound business knowledge of the company Competencies • Previous experience working with Azure Data Factory required. • Comfortable working within a
Internal Operations Team, Management and Tenants, capturing Performance Trends against the KPIs. Prepare timely of basic business principles Legislation, i.e. Health and Safety Act Understanding of geographical maps
basic business principles
with all stakeholders. Collaborate with other departments and team members. Please do not apply using Scanned volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard with all stakeholders. Collaborate with other departments and team members. Relevant degree (Finance, Engineering