We are looking for a Senior Data Engineer to elevate our processes and technologies to the next level. The ideal candidate will have experience with data engineering and MLOps tools, and be able to design and manage complex signal processing data engineering pipelines. The role will involve developing ETL data pipelines to guarantee data quality and extract rich insights about the data.
Requirements
- 5+ years in Data Science, MLOps or similar
- Strong algorithmic and optimization skills, especially in statistics and signal processing
- Deep experience with cloud computing platforms (GCP or other), production-grade database design/deployment and Cloud-native ML workflow
- Broad knowledge of data engineering and MLOps tools (Lambda, Kubernetes, Terraform)
- Proficiency with Python and SQL queries
- A proactive approach to solving problems and willingness to take on new challenges as they arise
- Somebody with solid opinions based on experience, yet open-minded and flexible to find the best solution for the situation
- Ability to work from the office in Berkeley at least from Tuesday to Thursday
Benefits
- Opportunity to make an impact at a young, venture-backed company in an emerging market
- Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role
- Competitive salary and benefits