Principal Engineer, Data & ML Platform
Tasks
- Architect data and software systems
- Build and operate large scale data intensive systems
- Build scalable data pipelines APIs and platform services
- Develop real time and batch data frameworks
- Drive platform scalability and reliability
- Evaluate and implement platform technologies
- Implement automated testing and deployment best practices
- Mentor engineers and establish best practices
- Shape long-term platform strategy
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Automated testing | Batch Processing | Cloud platform | Data Modeling | Data Pipelines | Databricks | Deployment | Distributed Systems | Google Cloud | Google Cloud Platform | Java | Platform Architecture | Production Engineering | PySpark | Python | Real Time | Real-time Processing | System design | Time processing
Education
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