Staff Engineer — Data Platform
Tasks
- Build and optimize real-time data pipelines
- Design and evolve data platform architecture
- Design data models for analytics fraud detection and reporting
- Establish data engineering standards
- Implement monitoring incident response and data quality
- Lead AI assisted engineering automation in data workflows
- Mentor engineers through reviews and knowledge sharing
- Translate business requirements into scalable data solutions
Perks/Benefits
- Flexible time off
- Fully remote
- Home office budget
- Language training
- Learning programs
- Provided Work Equipment
Skills/Tech-stack
AWS | Azure | DBT | Data Engineering | Data Governance | Data Modeling | Data Processing | Data Quality | Data Vault | Data mesh | Data pipeline | Dimensional Modeling | Feature Store | Flink | GCP | Incident Response | Kafka | Lakehouse | Low Latency | Machine Learning | Observability | Python | Real Time | Real-time Data | Real-time Data Processing | Reliability Engineering | SQL | Spark | Streaming
Education
N/A
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