Large-Scale Data Processing Specialist
5 days ago
About the Team
The Speak team at Spotify is responsible for developing world-class speech technologies that power personalized generative voice products at scale. We're a collaborative and innovative team that thrives on pushing the boundaries of what's possible with speech and audio technologies.
As a Senior Data Engineer, you'll be part of this team and play a crucial role in designing and developing large-scale speech and audio data pipelines. You'll work closely with other engineers, researchers, product managers, and stakeholders to ensure seamless integration and alignment with company goals.
Responsibilities
- Design and develop scalable, testable, maintainable, and high-quality code for large-scale speech and audio data pipelines.
- Work on machine learning projects to power new generative AI experiences and improve text-to-speech models.
- Contribute to the team's understanding of best practices and techniques for building data pipelines for large-scale generative models.
- Collaborate with other teams to ensure seamless integration and alignment with company goals.
Requirements
- Bachelor's or Master's degree in Computer Science or related field.
- 3+ years of experience in Data Engineering or related field.
- Strong knowledge of programming languages such as Python or Java.
- Experience with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure.
- Experience with higher-level data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink, etc.
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