About the role
The team creates and manages the central data infrastructure powering research, training, and production. The engineer designs and builds robust ingestion and orchestration methods for batch and streaming data. They establish scalable storage and compute resources to enable reliable experiments and ensure data integrity for operational use.
Our summary of the posting; the original is on the Reflection AI careers page.
What the posting requires
- Required
- Debugging
- Optimization
- Data quality
- Pipelines
- Cost
- Performance
- Research
- Data backbone
- Infrastructure
- AI systems
- Preferred
- Spark
- Flink
- Beam
- Airflow
- Dagster
- Kafka
These tags are our reading of the posting. They can miss something; the original posting is the reference.
