Senior Data Engineer
Description For Senior Data Engineer
Join Spotify's Personalization team as a Senior Data Engineer and be part of the innovative Speak team, focusing on in-house text-to-speech (TTS) technology. This role offers an exciting opportunity to work on cutting-edge projects like DJ and AI Voice Translation, while building world-class speech technologies for personalized generative voice products at scale.
The position combines data engineering expertise with machine learning applications, requiring skills in building large-scale speech and audio data pipelines. You'll work with modern technologies including Google Cloud Platform and Apache Beam, contributing to the development of state-of-the-art text-to-speech models.
As part of Spotify, the world's leading audio streaming service, you'll be working in a collaborative environment alongside engineers, researchers, and product managers. The role demands expertise in handling high-volume data, distributed systems, and Python programming, with a focus on delivering high-quality, scalable solutions.
The position offers flexibility with remote work options, though team collaboration occurs in the GMT time zone. You'll be part of a company that values diversity and inclusion, working on products that impact millions of users globally. This is an opportunity to shape the future of audio technology while working with cutting-edge AI and machine learning applications.
The ideal candidate will bring experience in data engineering, machine learning model training, and a passion for audio technology. You'll be responsible for building and maintaining data pipelines, ensuring data quality, and contributing to the team's best practices. This role offers growth opportunities through mentorship and leadership, making it perfect for someone who wants to make a significant impact in the audio technology space.
Responsibilities For Senior Data Engineer
- Build large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam
- Work on machine learning projects powering new generative AI experiences
- Build state-of-the-art text-to-speech models
- Build data pipelines for large scale generative models, including cleaning, filtering, classifying and labelling
- Collaborate with engineers, researchers, product managers and stakeholders
- Deliver scalable, testable, maintainable, and high-quality code
- Share knowledge and promote standard methodologies
Requirements For Senior Data Engineer
- Data Engineering experience with high-volume, heterogeneous data
- Experience with distributed systems (Hadoop, BigTable, Cassandra, GCP, AWS)
- Experience building clean datasets for training large scale machine learning models
- Experience with Python or Java based data processing frameworks (Beam, Dataflow, Spark etc)
- Strong Python programming abilities
- Experience with Docker, Luigi, Airflow, or similar tools
- Experience managing data retention policies
- Understanding of agile software processes
- Experience in developing datasets for machine learning models
- Familiarity with generative models or audio-based machine learning applications
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