AI solutions has a vacancy for a Data Warehouse Manager who will be responsible for enabling future needs Microsoft certification – Advantageous 3 – 5 years of management experience taking care of teams between 5 – 8
services. This is a development role where you are accountable for commercial outcomes, the suitable candidate
that is bold, moves fast and relies on self-accountability and initiatives - from design to deployment
technologies: network security groups, cross-account communication, ECS, Fargate, RDS, load balancers
Access Management. Service Management: Incidents Monitoring, manage SLAs, problem management reporting Logstash, Influx DB, Dynatrace, Oracle, Postgres, Management of Keys, Certificates and Secrets Dev: Java, Provide middleware support and configuration management for application dependant software i.e., Webservers
commitment, resource allocation and execution. Build, manage and continue to grow a digital innovation ecosystem projects, including technology delivery, and change management required to improve, implement, and embed digital experience in a similar role designing, building, and managing digital solutions and platforms. Leading successful Human Capital value chain 5-6 years' experience managing and leading a multi-disciplinary technology team overseeing the design, build, migration, and management of complex enterprise technology solutions. Direct
(EAI) IBM MQ Incident Management (IM) Change Management (CM) Problem Management (PM) IT Operations Process
preparation. Responsibilities: Build statistical models Manage the development of credit policies, credit queues strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement processes Monitoring/Calibration of models Effective self-management and teamwork Qualifications: Degree in Computer
and take charge of building, coordinating, and managing cutting-edge websites that push boundaries and communication and collaboration skills. Time Management: Ability to manage time effectively and prioritize tasks
supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements and IT infrastructure and data principles. Project management experience Experience with data visualisation