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Lead and build DevOps capability for Azure services, plan and design Azure infra architecture, collaborate with clients, architect secure and scalable cloud solutions, work with Agile development teams, implement DevSecOps framework, work with container technologies and microservices architecture, and communicate target state architecture to clients.
The Big Data Engineers at this company work on building horizontally scalable applications using distributed technologies like NoSQL, Hadoop, and Spark. They are responsible for evaluating, developing, maintaining, and testing big data solutions for advanced analytics projects, as well as pre-processing and reporting workflows. The role also involves testing machine learning models on Big Data and deploying them for ongoing scoring and prediction.
As a Fullstack Engineer, responsibilities include developing and maintaining backend and frontend for Data to Decision projects, integrating algorithmic output from backend REST APIs, and creating dynamic infographics.
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