Member of Engineering (Data & Analytics)
Tasks
- Build and maintain data pipelines
- Build and operate data platforms
- Build distributed systems
- Design data and analytics systems
- Develop high-performance data infrastructure
- Drive technical initiatives and define solutions
- Ensure systems reliability observability maintainability
- Improve and scale existing systems
- Model and ingest data
- Own experiment data lifecycle
- Retrieve query and analyze data
- Translate research data needs into solutions
Perks/Benefits
- Company-provided equipment
- Continuous learning allowances
- Flexible working hours
- Fully remote
- Health insurance allowance
- Home-office allowance
- Paid parental leave
- Team gatherings
- Vacation and holidays
Skills/Tech-stack
Cloud infrastructure | Data Ingestion | Data Modeling | Data Pipelines | Data Retention | Data Retrieval | Data Warehousing | Distributed Systems | Go | Kubernetes | Machine Learning | OLAP | Observability | Python | Querying | Queue processing | Stream processing | Time Series | Time-series databases
Education
N/A
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