Senior Data Developer

2 Months ago • 5 Years + • Data Analyst

Job Summary

Job Description

As a Senior Data Developer at Nielsen Marketing Cloud, you will design, build, and manage data architecture for various projects, ranging from serverless functions to large-scale big data pipelines. Your focus will be on creating highly scalable, high-performing, and cost-effective systems, continuously seeking improvements. You'll work with the latest cloud and data technologies and contribute to innovative projects. The role involves processing massive datasets (55TB+ daily) and building robust data warehouses. Experience with Scala, Spark, Python, and SQL is crucial.
Must have:
  • 5+ years server-side development experience
  • Proficiency in Scala, Spark, Python & SQL
  • Excellent problem-solving skills
  • Design, build, and manage data architecture

Job Details

The Nielsen Marketing Cloud (NMC) helps publishers, advertisers and agencies with targetable audience data for programmatic advertising. We connect leading online publishers with advertisers, ad agencies and ad networks who seek to create a more interest-tailored online advertising experience.


About the role

    • In your role as a senior data developer, you'll design, build, and manage our data architecture,working on different types of projects from serverless to big data pipelines. Your focus will be on achieving highly distributed, scalable, high-performing, and cost-effective systems by continuously exploring improvements.
    • We use the latest cloud and data technologies and constantly like to experiment with new ones, so if you are passionate about data, cutting-edge technologies, love to learn, experiment and make your projects shine, this is the place for you.
    • Check out two of our systems:

Qualifications

    • A degree in computer science or equivalent 
    • At least 5 years of hands-on experience in server-side development working on several  complex projects
    • Proficiency in programming languages such as Scala, Spark, Python & SQL.
    • Excellent problem-solving and analytical skills.
    • Good English (verbal AND written)
#LI-YL1

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