Description

You will manage the full lifecycle of data solution development, from requirements engineering to continuous optimization.

Responsibilities

• Drive data solution development through all lifecycle stages.
• Provide technical advisory and thought-leadership on data domain technologies.
• Collaborate with internal and external teams as a participant and leader.
• Execute solution improvement activities driven by project or service requirements.

Required Skills

• 5+ years of experience in hybrid environments using classical and DevOps methodologies.
• Deep knowledge of Linux operating system administration and implementation.
• Experience with containerization technologies: Docker, OpenShift, and Kubernetes.
• Proficiency with Infrastructure as Code and CI/CD tools: Ansible, Terraform, Jenkins, Bamboo, or Concourse.
• Experience implementing monitoring and observability using Prometheus, Grafana, ELK, or Filebeat.
• Working knowledge of SRE principles and Big Data ecosystems like Apache Spark and Hadoop.
• Strong written and spoken English communication skills.

Preferred Skills

• Experience in SRE-focused observability and monitoring.

Key Skills

Education

Any Graduate