Member of Engineering (Data & Analytics)
Tasks
- Build and operate distributed systems
- Build data pipelines
- Collaborate with research teams
- Design data and analytics systems
- Develop data ingestion and retrieval
- Drive technical initiatives and define solutions
- Enable large scale data analysis
- Ensure reliability observability and maintainability
- Own experiment data lifecycle
- Support model training workflows
Perks/Benefits
- Company-provided equipment
- Continuous learning
- Flexible working hours
- Fully remote
- Health insurance
- Home-office allowance
- Paid parental leave
- Paid vacation days
- Team gatherings
Skills/Tech-stack
Cloud infrastructure | Data Ingestion | Data Modeling | Data Pipelines | Data Retrieval | Distributed Systems | Go | High Performance | High-Performance Computing | Kubernetes | Machine Learning | OLAP | Observability | Performance Computing | Python | Querying | Queue processing | Stream processing | Time Series | Time-series databases
Education
N/A
Roles
Backend | Backend Engineer | Data Engineer | Engineer | Software Engineer
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