As a Data DevOps Engineer (Consultant), you will be responsible for:
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the projector service
Requirements
To excel in this very technical role, you will need to have:
Experience of working in hybrid environments with both classical and DevOps
The following Technical skills & experience are required:
Excellent knowledge of Linux operating system administration and implementation
Broad understanding of the containerization domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc.
Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc.
Observability - SRE
Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem
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