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　　Nielsen's audience measurement team is looking for a highly skilled backend developer with a strong passion for data and cutting-edge technologies.

　　The candidate will collaborate with Product, Data Science & operations teams to ensure that the software is built per specifications and with the highest quality. The candidate must be a self starter with a desire to understand our unique business and the associated technical challenges. This requires a self-managed strong technical candidate that can take special projects from inception to completion.

　　We use the latest cloud and data technologies and constantly like to experiment with new ones. If you are passionate about data, cutting-edge technologies, love to learn, experiment and make your projects shine, this is the place for you.

　　Requirements

　　Technical skillsA degree in computer science or equivalentAt least 5 years of hands-on experience in server-side development working on several complex projectsWorking knowledge of AWS Cloud Servers and related services.Proficiency in programming languages such as Spark, Scala, Java, Python and SQL.Good knowledge of RDBMS, database designing, and query optimization techniques.Excellent problem-solving and analytical skills.Good English (verbal AND written)Willing to provide support as needed on weekends and evenings.

　　Soft Skills

　　A team memberAbility to transform a user story / concept into a working scalable systemAbility to self-start and push projects forward toward completionBe able to handle multiple tasks simultaneously, meet deadlines, effectively manage priorities and communicate progressLove to bring fresh ideas and out of the box thinking to the projects you are working onPassion for learning and finding that unexpected solution

　　Skills that are an advantage

　　Strong understanding of data modeling, database design, data warehousing concepts and distributed systems principlesKnowledge of big data processing and query technologies like Hadoop and Hive a plus.Working knowledge of version controlling systems like GitLab, clear understanding of Gitflow workflow, and understanding of the overall CI/CD process