Nielsen is a global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch. This role will be a leader in the Marketing Cloud business unit.
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.
Technical skills
- At least B.Sc. in Computer Science or Software Engineering At least 5 years of hands-on experience in server-side development working on several complex data projects
- Hands-on development experience with Apache Spark in Scala
- Hands-on development experience with Apache Airflow pipelines in Python
- Hands-on working experience with Git
- Very strong SQL
- AWS ecosystem
- SBT (build tool)
- GitLab CIBash programming
- Docker/K8s
Soft skills:
- A team member Ability to transform a user story/concept into a working scalable system
- Present your ideas and drive to decisions Ability to self-start and push projects forward toward completion
- Be able to handle multiple tasks simultaneously, meet deadlines, effectively manage priorities, and communicate progress
- Be able to take an idea from the ideation stage to the incubation, planning, and execution phase
- Love to bring fresh ideas and out-of-the-box thinking to the projects you are working on
- Passion for learning and finding that unexpected solution
In your role you will be part of a development team responsible for developing, improving and maintaining our identity graph, which deterministically and probabilistically groups media consumption devices into persons, and persons into households. This data structure powers our marketing activation business, and helps our clients convey their advertising messages in the device- person- or household- level.
The construction of the identity graph involves Apache Airflow-based data pipelines, triggering AWS EMR-based Scala-developed Apache Spark jobs handling tens of TBs of data.
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Last updated on Oct 4, 2024