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
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.
expertise in optimising database performance, ensuring data security, and implementing best practices in Microsoft efficiency. 3. Data Security: Implement robust security measures to protect sensitive data, including access and auditing mechanisms, ensuring compliance with data protection regulations. 4. Best Practices Implementation: maintenance, ensuring scalability, reliability, and data integrity. 5. Backup and Recovery: Develop and maintain maintain backup and recovery strategies to minimise data loss and downtime in case of system failures or
based on changes to users, interfaces, processes, data flows, constraints, environments, and non-functional games to model scope, interfaces, story context, data flows, processes, retrospectives, and dependencies enabler epics, enabler stories, and synthesize the data to articulate requirements. Work with development/QA quality principles. Analyze/document data requirements and model data flows through all seven product dimensions
hardware and systems software (i.e. operating systems; data management products; office automation products;
timeously, so that all systems functionality and data is accurate. Required experience: 3-5 years IT industry
financial management, including gathering and analysing data, organizing reports, and presenting findings to
financial management, including gathering and analysing data, organizing reports, and presenting findings to
integrity, and availability of our systems and data. This hybrid working model provides the flexibility