video entertainment, advertising and content security with big brands under their wing is currently Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment Dimensional modelling techniques Experience working in a high availability DataOps environment Experience working
low-latency, high-availability, and performant applications Implementation of security and data protection
optimal solution Assist with the identification of risks and issues within the project(s) and mitigation stakeholder reviewed regularly Ensure that all work is of high standard Reference Number for this position is GZ58853
strategies. Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Experience: Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science scorecards. Minimum 2 years' experience in the Credit Risk environment. The Reference Number for this position
and optimisation Development of Software Specs Security and compliance Data/Systems integration Ability
Environment management (highly advantageous) Spring Boot (highly advantageous) Quarkus (highly advantageous) Docker Docker (highly advantageous) Kubernetes (advantageous) Agile development methodology Atlassian tools:
financial institution is building a team to execute on highly confidential innovative fintech projects, and they Consulting experience highly advantageous 5 years' experience as a full stack developer High learning attitude
Services (RESTful) Excellent understanding of CI/CD Security-first mind-set Fundamental understanding of TCP/IP
leading financial institution is on the lookout for a highly skilled Lead Business Intelligence Developer to to programs of high complexity, according to specifications. Conduct medium to highly complex evaluations
principles and standards in order to manage the Product risk and inter-dependencies during the Product Lifecycle