
Cloud Engineer
3 days ago
Are you passionate about building large-scale speech and audio data pipelines? Do you have experience with cloud-based technologies and machine learning algorithms? If so, we want to hear from you As a Cloud Engineer - Large-Scale Speech and Audio Pipelines, you will play a critical role in designing and implementing scalable, testable, maintainable, and high-quality code for large-scale speech and audio data pipelines.
We're looking for talented individuals who share our passion for innovation and excellence to join our team. At Spotify, we believe that everyone has a unique perspective and contribution to make. We're committed to fostering an inclusive and diverse workplace where everyone feels valued and empowered to succeed.
About the Role:- Design and implement large-scale speech and audio data pipelines using cloud-based technologies such as Google Cloud Platform and Amazon Web Services.
- Collaborate with other engineers, researchers, product managers, and stakeholders to develop and deploy data-driven solutions that drive business growth.
- Develop expertise in machine learning projects powering new generative AI experiences and helping to build state-of-the-art text-to-speech models.
- Leverage your experience with distributed systems such as Hadoop, BigTable, Cassandra, GCP, and AWS to build robust data pipelines.
- Bachelor's degree in Computer Science or related field.
- At least 3 years of experience in software development with a focus on data engineering and machine learning.
- Strong programming skills in Python or Java, with experience working with higher-level data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, etc.
- Familiarity with Docker, Luigi, Airflow, or similar tools.
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