This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related architecture Document and effectively communicate data engineering processes and solutions. Bachelor's degree or Computer Science, IT, Engineering or, Mathematics 7 years' experience in a Data Engineering, High Performance data related programming, scripting or data engineering tools such as Python, R, Julia, T-SQL, PowerShell
Diploma / Degree in Administration with additional training is a plus, specifically in computer/software.
URGENT VACANCY JNR. DEVELOPER – DATA ENGINEER CAMPERDOWN, KZN Responsible for assisting the IT and IS experience – essential The post JNR. DEVELOPER – DATA ENGINEER appeared first on freerecruit.co.za .
We are seeking an Onsite L3 VMware Engineer to join our team. As a technical expert,
Web Speed GUI Progress Software Developer Engineers Positions in Gauteng and Durban and Cape Town Minimum Per Month The post Progress Software Developer Engineer appeared first on freerecruit.co.za .
Administrator / Systems Administrator / Network Engineer – 3 to 5 years Minimum: Relevant certifications and Security Ideal: Degree/Diploma in IT or IT Engineering, VMware Certified Professional (VCP) Proficient
Services, Network Management, Computer Systems Engineering, System Support NQF Level 5 etc.). PLEASE
not be participating on another learnership or internship program;
Diploma / Degree in Administration with additional training is a plus, specifically in computer/software.
Analysis Professional (CBAP), INCOSE Expert Systems Engineering
Professional (ESEP), DEAC Certified Enterprise
(CEA)
MINIMUM PERIOD OF EXPERIENCE
TRAINING (DESCRIBE TYPICAL EXPERIENCE BACKGROUND): 5 years
& expertise in Data Preprocessing, Feature Engineering, and Model Evaluation. DUTIES: Data Analysis collection and measurement protocols. Feature Engineering – Engineer features and create data pipelines to prepare and clean data for modeling. 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 Scientists. Participate in knowledge-sharing and training programs to enhance the Data science capabilities