Data Center Solutions Engineer specializing in data architecture and analytics for GXO Logistics. Designing, building, and optimizing data solutions while writing complex SQL queries and creating dashboards.
About the role
- Integration Engineer designing and implementing integration strategies for Uni Systems. Working with APIs, workflows, and distributed architectures in a hybrid environment.
Responsibilities
- Design, plan, implement integration strategies and patterns in a JEE/HTTP secured ecosystem.
- Apply best practices of distributed architecture to solve complex integration problems between information systems.
- Design, implement and document APIs to be exposed in a secured manner on a public facing API Gateway.
- Design, implement and document business events to be easily produced on a corporate event-streaming platform and consumed by any system.
- Design, plan, implement and deploy workflows: business process definition and task definition (service or user tasks) relying on APIs and business events.
- Work in a container based infrastructure.
- Production of use case models, software architecture documents, design and analysis models, implementation models.
- Follow up of the data analysis and data modelling.
- Documentation of the technical implementations and the composites.
- Participation in technical working groups, progress meetings and meetings with the users.
- Assistance in the testing, the technical documentation, the deployment, the evaluation and the reporting.
Requirements
- Master's degree in IT and minimum 13 years of relevant professional experience (or Bachelor's degree in IT and minimum 17 years of experience).
- At least 5 years of experience with Java/JEE.
- Minimum 5 years experience with SOAP and/or REST.
- At least 5 years of experience with BPMN (and one BPMN workflow engine).
- 3 years of experience with Jira.
- Java EE Application Developer certification is mandatory.
- At least 2 years of experience with HTTP and API design.
- Experience with Workflow applications.
- Previous experience with relational databases.
- Excellent knowledge of asynchronous communication and publish/subscribe techniques and technologies: Apache Kafka, JMS.
- Strong experience with integration testing best practices.
- Proven experience with AI-powered code assistants (e.g., Amazon Q, GitHub Copilot) for accelerating coding processes and enhancing developer productivity.
- Good knowledge of Docker, Kubernetes and cloud native architectures.
- Familiarity with GRPC and Protobuf format.
- Good knowledge of distributed or microservice architectures and complex event processing.
- Good knowledge in Web security, OAuth2.0 and OpenID Connect.
- Advanced English (C1) communication skills (written and spoken).
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