skilled Intermediate Data Scientist to join their team. As an Intermediate Data Engineer, you'll be pivotal pivotal in using data-driven insights to inform business strategies and enhance operations. Collaborating measuring the success of data science initiatives. Design and implement data visualization tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modeling
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
company seeks to fill the role of a Data Engineer with a knack for data analysis to join its team. It is is a remote role that includes data manipulation, modelling and being responsible for the understanding inter-dependencies between various data sources and business processes involving data flow. You will also be involved involved in designing and building data management solutions using the software and other tools. The successful experience in data integration and transformation. You must have experience with Data Analysis, modelling
exceptional support. Your role will also entail managing Data, VoIP & CCTV IP network, and routing protocols: transport. DUTIES: IP Network Management – Manage Data, VoIP, and CCTV IP network. Keep all IP devices emergency, recovery, and contingency plan. Perform data backup. Ensure URL filtering is enabled for all hardware, software, data media and violations. Liaise with users with regard to all data communication matters users with regard to problem solving, quality of data, customer needs, network planning, environmental
managing devices and passwords for clients. Oversee data backup and system security (e.g. user authorisation escalated by technicians and support teams. Ensure that data is handled, transferred or processed according to
developing solutions structure a solution, model the data, and design & build appropriate components Advantageous advantageous. BI and Reporting (SSRS, PowerBI) Data Integration, ETL and Data Migration experience Ability to integrate
policies, procedures, and controls to protect sensitive data and mitigate Cybersecurity risks. Conduct regular