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DevOps Engineer Associate

Há 1 mês

Porto, Portugal Metyis Tempo inteiro

What we offer

Develop your professional career working with one of the biggest brands in the fashion industry; Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change; Work as a facilitator within our Agile environment and be responsible for managing the exchange of information between team members; Become part of a fast-growing international and diverse team;

What you will do

Design, develop, implement, automate & monitor CI/CD/CT pipelines for an Azure based Data Platform; Establish and enforce DevOps best practices such as automated testing and deployment strategies; Keep up-to-date with emerging data technologies, trends, and best practices, and make recommendations for their adoption within the organization's DevOps ecosystem; Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning; Be proactive and be willing to work closely with Data Engineering, Data Science, MLOps & Cloud Infrastructure teams;

What you will bring 

3+ years working experience as Azure DevOps Engineer in the field of Data & Analytics or in a similar role; Extensive knowledge of Microsoft Azure is required; You’re proficient with scripting languages (e.g. Python, YAML, git, bash, PowerShell, …); You’re proficient with CI/CD tools (e.g. Azure DevOps Pipelines, GitHub Actions…); You have experience with testing & data quality (e.g. pytest, great expectations, etc.); You have experience with containerisation and orchestration technologies (e.g. Docker, Kubernetes, …); You have experience with infrastructure as code (e.g. Terraform, …); You have experience of working in an Agile environment (e.g. Scrum, …); Certifications in Azure are a plus. (e.g. Azure DevOps Engineer Expert, Azure Solution Architect Expert, Azure Data Engineer Associate, ...); Being familiar with software engineering best practises in coding, software design patterns, testing & debugging are a plus; Being familiar with DataOps principles in observability, monitoring, & incident reporting are a plus;