Responsibilities
- Overseeing the full lifecycle of real-time data processing pipelines
- Designing and improving ETL workflows for efficient data transfer
- Connecting and configuring new data sources into existing systems
- Adopting and deploying emerging technologies to strengthen data processing
- Deploying and managing applications in Kubernetes environments
- Ensuring continuous system performance through monitoring and upkeep
- Managing deployment and change processes across the application lifecycle using ITIL and internal corporate procedures
- Working in close coordination with data scientists and client stakeholders
- Available to support critical tasks beyond standard business hours when needed
Work Arrangement
Hybrid
Other
- Required to be on-call for approximately 6 weeks annually
- Occasional system changes may occur outside regular working hours
- Applicants must submit their CV in English
