Network Engineer Jobs in Umhlanga Rocks, Kwazulu Natal
IT / Computing / Software
- Careerbox (3)
- Dk Consulting (2)
- Nkr Outsourced (1)
- Retsol Stores Ltd (1)
- Last 7 days (1)
- Last 3 days (1)
Senior Design Engineer Umhlanga NEW
Nkr Outsourced
Umhlanga Rocks
Education: Bachelor's degree in Electronic Engineering or equivalent. Skills: Proficiency in electronic
share this job on whatsappData Engineer Umhlanga
CareerboxUmhlanga Rocks
The data engineer is responsible for expanding and optimizing our data and data pipeline architecture collection for cross functional teams. The Data Engineer will support software developers, database architects
It Security Analyst Umhlanga
CareerboxUmhlanga Rocks
compliance, and improvement purposes. Monitor networks and connected devices for security issues. Proactively equivalent Minimum 5 years' experience in IT systems engineering Minimum 3 years' experience in IT security incident incident response Experience with computer network vulnerability testing tools and techniques Experience and IDS/IPS concepts Understanding of Wireless network security and protection mechanisms Understanding
Investment Liaison Consultant
Dk ConsultingUmhlanga Rocks
a listed Asset Management business. Service a network of Independent Financial Advisors via the telephone
Investment Consultant Umhlanga
Dk ConsultingUmhlanga Rocks
a listed Asset Management business. Service a network of Independent Financial Advisors via the telephone
Internship It Umhlanga
CareerboxUmhlanga Rocks
industry knowledge through real-world projects. Networking opportunities with peers and industry experts of IT concepts, including hardware, software, networks, and databases. Excellent communication and interpersonal
Junior Data Analyst Umhlanga
Retsol Stores LtdUmhlanga Rocks
collection and measurement protocols. Feature Engineering: - Engineer features and create data pipelines to prepare and clean data for modelling. - Work with data engineering teams to ensure data availability and quality Collaboration: - Collaborate with business analysts, data engineers, and domain experts to understand and address visualization. Expertise in data pre-processing, feature engineering, and model evaluation. - Excellent problem-solving
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