leading telecommunications company, with innovative solutions from designing, building, deploying, and managing on innovation topics such as Development and Operations for are looking for an Azure Data Engineer to Python, Spark, SQL Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure or a comparable field of study Experience in architecting and implementing scalable data pipelines in
Omni-Channel Technical Team Lead who will take on the responsibility of managing our omni-channel technology responsibilities will include providing technical solutions to enterprise problems. As the Technical Team concepts and processes Experience managing an omni-channel technology stack Excellent communication and interpersonal Design and implement scalable and high-performance solutions using SAP Commerce Cloud (Hybris) platform Conduct
optimal performance and professional growth. Architect, implement, and maintain scalable and secure Kubernetes pipelines. Collaborate with development, QA, and operations teams to automate processes and enhance system and a track record of delivering high-quality solutions, we invite you to apply for this exciting opportunity
Hardware/Software Engineer. Their innovative solutions are meticulously crafted in-house, allowing them technology solutions. Key Responsibilities: Develop and maintain embedded software solutions using ANSI firmware for embedded systems, including real-time operating systems (RTOS), leveraging knowledge of Embedded implement service-oriented architecture (SOA) solutions for distributed embedded systems, facilitating
designing and implementing robust infrastructure solutions using Docker, Kubernetes, and Terraform? If so committed to delivering innovative and secure solutions to our clients. This company values collaboration key role in driving their infrastructure and operations to new heights. Responsibilities: Design, implement and Terraform. Collaborate with development and operations teams to ensure smooth integration and deployment
themselves in providing cutting-edge services and solutions that enhance connectivity and empowering their insights to drive business decisions and optimise operations including uncovering actionable insights that behaviour, optimise resource allocation, and improve operational efficiency. Collaborate with stakeholders to Translate business requirements into technical solutions. Work closely with cross-functional teams to analyse
enable self-help Responsibilities: Systematic solution design of the ETL and data pipeline in line with implement ETL pipelines aligned to the approved solution design Ensure data governance and data quality Translates business needs into long-term architecture solutions. Define, design and build dimensional databases to learn. SAP architecture, implementation and operations Trends across Data/Analytics (Big Data, Machine
Africa, Dubai and the Netherlands with principal operations in pay television, video entertainment, advertising responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake certifications Experience Experience of developing solutions in the cloud (Azure) In-depth experience in Azure Experience working with automated data warehousing solutions would be advantageous Minimum 7 years in a Microsoft
themselves in providing cutting-edge services and solutions that enhance connectivity and empowering their insights to drive business decisions and optimise operations including uncovering actionable insights that behaviour, optimise resource allocation, and improve operational efficiency Collaborate with stakeholders to define
Big player in the financial solutions industry who needs absolutely no introduction to industry and has Experience with designing and implementing Cloud (AWS) solutions including full use of all APIs available Experience with Dev/OPS architecture, implementation, and operation Reference Number for this position is GZ54391