Staff Engineer — Data Platform
Tasks
- Automate data workflows and quality systems
- Build real time low latency data pipelines
- Collaborate with cross-functional teams on scalable solutions
- Define data platform architecture
- Design data models for fraud detection and analytics
- Establish data engineering standards
- Implement monitoring incident response and SLAs
- Implement regulatory reporting data models
- Manage data quality proactively
- Mentor engineers through reviews and knowledge sharing
- Optimize scalable data processing
Perks/Benefits
- Autonomy
- Equity opportunities
- Flexible time off
- Fully remote
- Global health coverage
- Home office budget
- Learning programs
- Provided Work Equipment
Skills/Tech-stack
AWS | Apache Flink | Apache Kafka | Apache Spark | Cloud platform | DBT | Data Engineering | Data Governance | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Vault | Data platform | Data platform architecture | Dimensional Modeling | Google Cloud | Google Cloud Platform | Incident Response | Lakehouse | Low Latency | Low Latency Processing | Microsoft Azure | Monitoring | Platform Architecture | Python | Reliability Engineering | SLAs | SQL | Starrocks | Streaming systems
Education
N/A
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