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Join the Catalog team and be part of Deezer’s next steps. We ingest, reconcile and enrich every piece of content available on the service, from multiple sources. Our mission is to ensure that Deezer’s catalog is complete, accurate and reliable, so that every user can enjoy the best possible music experience. We build the pipelines and tools that guarantee metadata quality at scale — from entity matching to artist disambiguation.
Job Responsibility:
Design and maintain ETL pipelines to ingest and process large volumes of catalog data from disparate sources
Ingest and match entities like artists, albums, concerts and lyrics
Develop solutions to improve metadata quality at scale
Contribute to projects like: Artist disambiguation and source-of-truth building
Album grouping via ML models in collaboration with Data scientists
Build analytics and quality KPIs to monitor catalog performance
Collaborate closely with Data Scientists, Researchers, Product Managers and partners to implement new solutions
Requirements:
5+ years of experience in Data Engineering
Familiarity with data quality frameworks and best practices
Solid experience with Python, SQL, BigQuery, Spark/Scala, ETL
Experience with entity matching, data reconciliation or data science applied to quality problems is a strong plus
Proactive, organised and with strong team spirit
Passion for music and improving user experience through better metadata
Fluent in English
Nice to have:
Experience with entity matching, data reconciliation or data science applied to quality problems
What we offer:
A Deezer premium family account for free
Access to gym classes
Join over 70 Deezer Communities
Deezer parties several times a year and drinks every thursday
Allowance for sports, travelling and culture
Meal vouchers
Mental health and well-being support from Moka.Care
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