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
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
pipelines in cloud environments Usage and management of the tools to manage the infrastructure: Azure Virtual Azure Active Directory, AD Connect, Operations Management Suite/Log Analytics, Azure Monitor, Azure Site
committed to providing banking insurance and asset management services have an open role for a Cloud Data Engineer transformation and loading of data Build, create, manage and optimise data pipelines Create data tooling
format and assisting with identification and management of risks To be part of this brand that creates Lambda DynamoDB Step Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Nice to have