About the role
The team builds and maintains the company's modern data platform, supporting batch and streaming use cases. The engineer designs, develops, and operationalizes scalable data infrastructure, enabling real-time decision-making and integrating machine learning models across the platform.
Our summary of the posting; the original is on the PrizePicks careers page.
What the posting requires
- Required
- Kafka
- Low-latency services
- Containerization
- Spark
- REST APIs
- Data lifecycle
- Python
- Flink
- Stream ingestion
- Preferred
- GCP
- Data pipeline authoring
- Data quality
- Self-service
- AWS
- Orchestration
These tags are our reading of the posting. They can miss something; the original posting is the reference.
