Data Integration DevOps Infrastructure Engineer

To be successful as a Data Integration DevOps Infrastructure Engineer you should have experience with:

• Prior experience working on in infrastructure engineering deliverables supporting Data Integration (ETL) products and platforms such as Ab Initio, Informatica, Streamsets with a willingness to learn and adopt new technologies.
• Hands-on experience with Unix systems.
• Hands-on experience with Container Platforms (Openshift and Kubernetes).
• Proficiency in programming languages such as Python, Bash, or PowerShell, with the ability to develop scripts and infrastructure automation tools (Ansible / Chef).
• Proven track record in incident management and change execution in a regulated environment.

Some other highly valued skills may include:

• Exposure to AWS or Azure cloud architecture.
• Experience with monitoring and observability tools, such as Elasticsearch, Logstash, and Kibana stack).
  • Experience with version control systems like Git and familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices.