Member of Engineering (Data & Analytics)
Tasks
- Build and operate experiment data lifecycle
- Build data pipelines
- Build distributed systems
- Collaborate with research teams
- Design data and analytics systems
- Develop scalable data infrastructure
- Ensure reliability observability maintainability
- Improve data modeling
- Ingest data
- Maintain analytics platforms
- Optimize systems for long term growth
- Perform data analysis
- Retrieve and query data
Perks/Benefits
- Company-provided equipment
- Continuous learning
- Flexible working hours
- Fully remote
- Health insurance allowance
- Home-office allowance
- In-person collaboration opportunities
- Inclusive culture
- Paid parental leave
- Team gatherings
- Vacation and holidays
Skills/Tech-stack
Cloud infrastructure | Data Ingestion | Data Modeling | Data Pipelines | Data Querying | Data Retrieval | Distributed Systems | Experimentation | Go | Kubernetes | Machine Learning | OLAP | Observability | Python | Queue processing | Stream processing | Time Series | Time-series databases
Education
N/A
Roles
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