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Personalized Music and Podcasts Data Expert
3 weeks ago
Serve as a key contributor to Spotify's Personalization team, responsible for crafting innovative data solutions that elevate user experiences. As a Senior Backend Data Engineer, you will lead the development of large-scale data pipelines using cutting-edge technologies such as Scio, BigQuery, Google Cloud Platform, and Apache Beam.
Join us in shaping the future of music and podcast recommendations, driving business growth through data-driven insights, and collaborating closely with cross-functional teams. This role offers opportunities to expand your skill set, take on leadership responsibilities, and make a lasting impact on Spotify's success.
Responsibilities- Leverage expertise in data engineering to design and implement high-performance data pipelines
- Develop and deploy reliable, scalable Java services impacting millions of users
- Collaborate with ML teams to integrate ML models into our recommendation engines
- Drive knowledge sharing, mentorship, and continuous improvement within the team
- Advanced proficiency in Scala, with experience in higher-level JVM-based data processing frameworks
- Expertise in Kubernetes, DevOps best practices, and containerization tools
- Strong background in machine learning principles and experience integrating ML projects
- Effective communication and collaboration skills, with a focus on agile software processes
