BigData DevOps Engineer 

We are looking for a Big Data DevOps Engineer to join a telecommunications project focused on data-intensive systems. You’ll be responsible for supporting and optimizing infrastructure for big data pipelines and ensuring system reliability and performance.

Requirements:

• 2+ years of experience as a DevOps Engineer.
• Strong hands-on experience with Linux and Bash scripting.
• Solid knowledge of SQL.
• Confident in at least one programming language: Python or JavaScript; experience with Ezmeral Data Fabric is a plus.
• Experience with Kubernetes and container systems.
• Hands-on experience with Spark, Kafka, and Airflow.
• Familiarity with monitoring systems: Zabbix, Grafana, Prometheus.
• Good understanding of TCP/IP, HTTP, and REST API principles.
• Experience with Git, GitLab, and CI/CD tools.
• Experience with Terraform and Ansible.
• English sufficient for reading and understanding technical documentation.

Responsibilities:

• Support and maintain big data infrastructure components.
• Automate deployment and infrastructure provisioning processes.
• Work with large-scale data tools to ensure stability and performance.
• Collaborate with developers and data engineers to support end-to-end solutions.