DV Cleared DevOps Engineer

collaborative nature of consultancy, you are comfortable working independently or as part of a team, effortlessly context-switching as required. The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems. You will be joining the client to provide their clients with the optimal consultative service and experience, resulting in business outcomes that meet core client values and business requirements. Extensive social benefits, flexible working hours, a competitive salary and shared values, make our client one of the world’s most attractive employers. Their goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities. If you are looking for challenges in a fast-paced, thriving, international work environment, then we definitely want to hear from you! As a Data DevOps Engineer, 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 betweenProviding technical thought-leadership and advising on technologies and processes at the core of the data domain, as well as data domain adjacent technologiesEngaging and collaborating with both internal and external teams and being a confident participant as well as a leaderAssisting with solution improvement activities driven either by the project or service To excel in this very technical role, you will need to have: An organised and methodical approachExcellent time-keeping and task prioritisation skillsAn ability to provide clear and concise updatesAn ability to convey technical concepts to all levels of audienceTechnical implementation skills - application of industry best practices & design patternsTechnical advisory skills - experience in researching technological products / services with the intent to provide advice on system improvementsExperience of working in hybrid environments with both classical delivery and DevOps The following Technical skills & experience are required: Excellent knowledge of Linux operating system administration and implementationBroad understanding of the containerisation 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 - SREBig Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop EcosystemExcellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable: Jupyter Hub AwarenessRabbitMQ or other common queue technology e.g. ActiveMQNiFiRegoFamiliarity with code development, shell-scripting in Python, Bash etc. #J-18808-Ljbffr