DataOps Engineer
Tasks
- Develop and deploy Spark on Kubernetes
- Implement and operate data lake
- Implement data protection according to security policies
- Maintain on premise AI infrastructure
- Manage Kubernetes clusters
- Plan capacity and tune performance
- Provide monitoring and alerting
- Support data platform architecture development
Perks/Benefits
- Access to corporate doctor
- Annual leave
- Company car support
- Education allowance
- Employee discounts
- English lessons
- Expat tax perks
- Family health coverage
- Gym access
- Health insurance
- Learning and career development
- Life insurance
- Paid Maternity Leave
- Paid paternity leave
- Paid sick leave
- Relocation legal assistance
- Relocation support
- Unlimited learning opportunities
Skills/Tech-stack
Amazon S3 | Ansible | Apache Spark | CI/CD | Capacity Planning | Chef | Containerd | Disaster Recovery | Docker | Go | Hadoop | IO Throughput | Incident Management | Java | Kubernetes | Kubernetes Service | Kubernetes Service Allocation | Linux | Networking | Object storage | Puppet | Python | Rancher | SQL | Trino
Education
N/A
Roles
Big Data Engineer | Data Engineer | DataOps Engineer | Engineer
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