supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist (Logistic regression, random forest, etc) Ability to train and maintain models Data cleaning and pre-processing model performance approaches in the context of the training approaches taken (Classification Models, Confusion engineering, financial services data processes, technical business intelligence. 5 - 7 years' experience IT infrastructure and data principles. Project management experience Experience with data visualisation
routines using ETL tool, ensuring that business and technical requirements are met. Ensure compliance with established advantageous Relevant data warehouse and BI solution training is preferred. A sound knowledge of Ab Initio Must
in improved results Data Visualization Change management mind-set, has to be able to adjust to different and verbal communications. Strong relationship management, negotiating & influencing Ability to identify model performance approaches in the context of the training approaches taken (Classification Models, Confusion etc) performance approaches in the context of the training approaches taken (Classification Models, Confusion processes an advantage 3 years' operating at a manager level. Audit, especially big four audit firm experience
tools such as Confluence, JIRA etc Developing technical documentation and artefacts Working with Data Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Technical data modelling and schema
be instrumental in designing, developing, and managing scalable, secure, and robust cloud infrastructure develop, and manage scalable, secure, and robust cloud infrastructure on AWS. Implement and manage CI/CD pipelines maintained across all cloud environments. Provide technical guidance and mentorship to junior team members with Kubernetes for container orchestration and management. Strong problem-solving skills and the ability
role is not for the faint hearted; it's for the technically solid chap looking for some a fast-paced tech strategizing, crafting, leading, and implementing technical solutions amongst an incredible human-centric
including the ability to communicate technical concepts to a non-technical audience Excellent knowledge of
environment with multiple operational instances Technical background with an ability to synthesize large large amounts of information efficiently Technical Competencies: Solid understanding of Golden Gate Command
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 researched positions with top companies to strong technical candidates. Check out our website www.e-merge
Engineer Certification would be advantageous Related Technical certifications Experience Experience of developing years must have been in an Azure environment Technical Competencies Hands-on experience with some of