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
institution in South Africa, is seeking a Data Solutions Architect to join Purpose
Responsibilities:
visionary in the provision of innovative ICT and Data Center infrastructure solutions. Requirements: At relevant industrial and commercial experience with a Data Center Infrastructure skill set. At least 2 years' Design and Consulting experience with preferably Data Centre Infrastructure and ICT environment. Architectural Systems, Building Management Systems, Structured Cabling and Fibre Solutions, Integrated Security Solutions OEM Certifications (APC, Emerson, etc – Certified Data Centre Design Engineer and relevant product certification
relevant industrial and commercial experience with a Data Center Infrastructure skill set.
the lineage and data flow design aspects of the program. This includes creating data flow diagrams (DFDs) (DFDs), defining data models, ensuring data lineage, and implementing data governance policies on AWS software development with a focus on data lineage, data modeling, and data flow design. Proven experience with particularly in the context of data management and governance. Strong understanding of data governance principles practices. Proficiency in creating data flow diagrams (DFDs) and data models.
stakeholders to shape data architecture and requirements collaboratively Craft data models and schemas tailored appropriate data storage solutions, including relational databases, data warehouses, data lakes, and MS Lead the implementation of data governance policies and standards Uphold data quality and integrity across organisation Ensure adherence to data security and privacy regulations Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives Bachelor's degree in Computer
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
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 and managing spatial data. Experience of cataloguing and organizing raster data. Knowledge of standard capturing, collating and managing spatial data and Raster Data Technical Skills should include: Numerate and adaptability- think on feet Detail orientation Data collation Technical reporting Physical fit Will
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 and managing spatial data. Experience of cataloguing and organizing raster data. Knowledge of standard capturing, collating and managing spatial data and Raster Data Technical Skills should include: Numerate and adaptability- think on feet Detail orientation Data collation Technical reporting Physical fit Will
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";