applications using Power Apps. Utilize Azure Cloud services to integrate and scale automation solutions. Required experience in automation engineering or a related field. Proficiency in Microsoft Power Platform tools (Power Power Apps). Strong understanding of Azure Cloud services and architecture. Excellent problem-solving skills
Leaders in the insurance field are growing their data space and are seeking to appoint an innovative similar) 3 years in a Data Engineering role or related field The Reference Number for this position is GZ57029
priding themselves in providing cutting-edge services and solutions that enhance connectivity and empowering empowering their clients seek the services of an Intermediate Data Engineer who will play a crucial role Science, Statistics, Mathematics, or a related field. 2 years of experience in data analysis, machine
technology implementations AKS (Azure Kubernetes Service) Actively participate in problem solving (including the technologies. Stay abreast of developments in field of expertise, ensuring personal and professional
enhancements. Ensuring that ICT solutions and services meet the needs and expectations of internal and Qualifications and Experience: Relevant Degree in related field 3 years' experience Additional qualifications in
in Computer Science, Engineering, or a related field Minimum of 3 years' experience in API development
computer science, software engineering or related field 5 years of experience as a Full Stack Node.js Developer
Business Science, Information Systems, or a related field. Proven experience in leading and managing data
through an ecosystem of digital and financial services. This is a development role where you are accountable will be in charge of Software Development and IT Services and IT Consulting. APPLY NOW Requirements: 2 to Maths, Stats or Actuarial Science AWS (Amazon Web Services) RESTful APIs Android Kotlin AWS Reference Number
with vast experience in providing both direct service delivery and technical assistance, coupled with SSRS administration for on premises and cloud Services Perform, communicate and make actionable recommendations premise and / or in the cloud (e.g. MS SQL, Analysis Services, Power BI, Azure Synapse Analytics) Production DAX modelling measures (e.g. Power BI, Analysis Services, DAX Studio, Tabular Editor or other external