Magnet.me  -  Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Data Engineer, Business Intelligence

Geplaatst 20 mei. 2024
Delen:
Werkervaring
0 tot 7 jaar
Full-time / part-time
Full-time
Functie
Soort opleiding
Taalvereiste
Nederlands (Vloeiend)

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At Nielsen, we believe that career growth is a partnership. You ultimately own, 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 champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

Background

Gracenote is the world’s leading entertainment data and technology company. We power the top music services, consumer electronics companies, automakers, media companies and cable and satellite operators on the planet. At its core, Gracenote helps people find, discover and connect with the entertainment they love.

Gracenote does this by

1) Global Databases - Creating, collecting and organizing detailed information about TV shows, 
sports, movies and music
.

2) Best-in-Class Experience - Building best-in-class services and technologies to make TV, sports, movies and music more accessible to and discoverable by fans.

3) Highly Scalable Platform - All on a highly scalable platform that serves billions every month. The data Gracenote creates and the tech we invent is essential to 80% of Forbes’ Most Valuable Brands in Automotive, Media and Tech.

Job Purpose

We are presently looking for a Data Engineer as a part of our Gracenote Quality Office team. The Quality Office is responsible for designing and implementing quality management solutions across Product, Operations, Technology & Commercial.

This role is to assist in the organization’s journey to leverage our vast metadata content. Collaborating with multiple teams to measure and improve data quality, and access and combine datasets for use in quality projects, is paramount to succeed in this role. Familiarity with data integration, AWS cloud services, analytical systems, data harmonization, and data automation is key in this role.

\nResponsibilities:
  • Works with the Quality Office and cross-functional teams on data quality and implement systems to make them visible with metrics and thresholds
  • Responsible for building data pipelines and data integration projects to measure quality
  • Build and optimize data queries from multiple relational databases, data warehouses, and data lakes for various analyses and requests
  • Support the team to production business requests and analysis, while building tools and infrastructure to improve their speed and effectiveness
  • Ability to translate raw data into visualizations to be understood by multiple (technical and non-technical stakeholders) or in data staging.
  • Build on the cloud
Core Requirements
  • Data engineer with 3-5 years experience in cloud (AWS etc), Python, Spark, SQL, Big-data solutions
  • Clear database fundamentals, data integration, transformation, distributed computing, and building robust and scalable solutions.
  • Knowledge of API, BI and AI/ML is preferred.
Skills:
  • Experience in data integration of multiple databases (RDS, Aurora, SQL data stores - Postgres, Oracle, MySQL; data warehouses - Redshift, Snowflake)
  • Strong hands-on experience with data warehousing, ETL, dashboarding, and reporting, involving large datasets and multiple data sources
  • Knowledge of Cloud Data Platform/ Services. E.g. AWS S3 /Glue/Lambda/Athena/ EMR/ IAM/ EC2/ Kinesis/ Terraform cloud formation/ Autoscaling etc.
  • Experience in distributed computing/scripting (Spark, Python) with a track record of clean, efficient code design.
  • Sound understanding of SQL fundamentals and experience with data warehousing, data modeling and schema.
  • Dedicated to fast and continual learning - technologies, languages, systems, etc.
  • Bachelor's or Master's in Computer Science or equivalent work experience.
  • Analytical, problem-solving solving, and demonstrated follow-through.
\n

ABOUT NIELSEN :

As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

#LI-ST1

Nielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry’s only…


Nielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry’s only global view of retail performance measurement.

By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the world’s population.

For more information, visit www.nielsen.com.

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