Key Responsibilities:
Paracon Engineering Lead "Join our conglomerate client within Financial Services as an Engineering Lead to success? Our client is seeking a visionary Engineering Lead to spearhead their dynamic team. If you're
client requires the services of a n Operations Engineer ( Senior) - Midrand/Menlyn/Rosslyn/Home Office management/asset management) Defining specific engineering roles for VDIs matching their exact application Crash Test simulation) Understanding global engineering (ItO) resource demands and consulting / designing
Management 11. Finance, Risk & Compliance 12. Engineering With over 500 consultants, CyberPro has a 24-year Investments 4. Retail 5. Telecommunication · The Data Engineer will be responsible for transforming data into business acumen and technical capability. · The Data Engineer will be responsible for working with analysts
Paracon Engineering Lead "Join our conglomerate client within Financial Services as an Engineering Lead to success? Our client is seeking a visionary Engineering Lead to spearhead their dynamic team. If you're
Our client requires the services of a Software Engineer (Expert) – Midrand/Menlyn/Rosslyn/Home Office
the region and business. The Network Operations Engineer's role is to ensure that core network operations enhance operational efficiencies, and mentoring engineers in operations and basic networking. Roles and
We are seeking a skilled Node.js / React Developer with experience in AWS to join our dynamic team. The ideal candidate will be responsible for developing and maintaining high-quality web applications using Node.js, React, and AWS services. - Develop and maintain web applications using Node.js and R
We are looking for a skilled Database Engineer/Administrator to join our client in office in Elandsfontein
anomalies or discrepancies. Collaborate with data engineers and analysts to establish data quality standards retrospectives. Collaborate closely with data engineers, data analysts, and other stakeholders to align methodologies, tools, and best practices in the data engineering and analytics domain. Ideally a Bachelor's or computer science, Information Technology, Software Engineering, or a related field. Strong foundation in data (e.g., pytest, unittest). Knowledge of data engineering concepts, data warehousing, and ETL processes