Related skills
java docker linux sql kubernetesπ Description
- Design & Build: Develop and operate a new datastore for mortgage data exchange.
- Backend Development: Java backend and Oracle RDBMS environments.
- Risk & Security: Administer IT-Risk controls and audits.
- Data Integration: Apply data quality and integration patterns to data consumers.
- Ops & Troubleshooting: Diagnose production issues using monitoring tools.
- Automation: Automate build and deployment with Azure DevOps and Ansible.
π― Requirements
- Senior Experience: 4+ years in Data Engineering
- Database Mastery: Oracle RDBMS, SQL, PL/SQL
- Java Backend: Solid Java backend development
- Core Tools: Linux and scripting
- Methodology: Agile, Scrum, or Kanban
- Language: English communication
π Benefits
- Growth days for professional development
- Private laptop budget up to β¬4,000
- β¬2,400 annual training budget
- Company pension contribution of 3.75%
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