Key Responsibilities
- Design and maintain data pipelines for audio quality metrics and processing
- Develop algorithms to analyze and improve audio signal quality
- Collaborate with cross-functional teams to define data requirements
- Optimize data storage and retrieval for large-scale audio datasets
- Implement machine learning models for audio feature extraction
- Ensure data integrity and performance across processing workflows
Requirements
- 5+ years of experience in data engineering or audio processing
- Proficiency in Python and SQL for data manipulation
- Experience with audio analysis libraries and DSP techniques
- Knowledge of machine learning frameworks for signal processing
- Strong debugging and optimization skills for data pipelines