Big Data Developer

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At Nielsen, we believe that career growth is a partnership. You are ultimately in charge, fuel, and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We support you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take the freedom to think big, so we can all continually improve. We enable your best to power our future. Nielsen Marketing Cloud’s big data group is looking for a highly skilled big data developer with a strong passion for cutting-edge big data technologies. As a big data developer, you will design and implement highly distributed, scalable, performant and cost-effective systems. We use the latest cloud and serverless technologies and constantly like to experiment with new ones. If you are passionate about cutting edge technologies, love to learn, experiment and make your projects shine, this is the place for you. Requirements: - B.Sc/BE/B.Tech in computer science or equivalent - At least 5 years of hands-on experience in server-side development using Scala/Java - Understanding of distributed systems principles - Deep knowledge and experience with Spark / Serverless / Kafka / Kubernetes and/or modern Databases technologies - Experience with cloud services, preferably on AWS – Advantage - Experience in agile methodologies and open source tools - Good English (verbal AND written) Skills that are an advantage: - Ability to transform a user story / concept into a working scalable system - Ability to present your ideas and drive to decisions - Ability to self-start and push projects forward towards completion - Ability to handle multiple projects simultaneously, meet deadlines, effectively manage priorities and communicate progress - Ability to take an idea from the ideation stage, to incubation, planning and execution phase - Love to bring fresh ideas and out of the box thinking to the projects you are working on - Being a team member - Passion for learning and finding that unexpected solution.