Ingénieur DataOps F/H
Tasks
- Automate Helm chart and pipeline libraries
- Build data processing workflows with Spark and Trino
- Configure observability with Prometheus and Grafana
- Deploy Quarkus and Python microservices
- Design and optimize real time data streaming pipelines
- Implement API management with Kong
- Implement GitOps deployments with ArgoCD
- Implement security scanning with SAST DAST Trivy
- Integrate Debezium CDC and Kafka
- Manage Kubernetes environments
- Orchestrate continuous integration multi cluster
- Provision Kafka clusters with Streaming as Code
- Set up distributed tracing with Tempo
Perks/Benefits
- Career development
- Cooptation bonus
- Integration events
- Meal tickets
- Paid time off and RTT from start
- Social and cultural activities
- Sustainable mobility support
Skills/Tech-stack
API Management | Apache Airflow | Apache Iceberg | Apache Spark | ArgoCD | DAST | Debezium | DevOps | Distributed tracing | GitLab CI | GitOps | Grafana | Helm | Kafka | Kong | Kubernetes | Loki | Microservices | Mqtt | Observability | OpenStack | Prometheus | SAST | Tempo | Trino | Trivy
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
DataOps Engineer | DevOps | DevOps Engineer | Engineer | SRE | SRE Engineer
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