Staff Engineer — Data Platform
Tasks
- Build real time low latency data pipelines
- Define engineering standards for documentation and reliability
- Design data models for analytics fraud detection and reporting
- Design data platform architecture
- Establish data modeling and testing standards
- Implement data observability and monitoring
- Lead automation and AI assisted engineering practices
- Manage incidents and SLA reliability
- Mentor engineers through reviews and knowledge sharing
- Optimize scalable streaming data processing
- Perform proactive data quality management
- Translate business requirements into scalable data solutions
Perks/Benefits
- Flexible time off
- Fully remote
- Global health coverage
- Home office budget
- Language courses
- Learning programs
- Professional development courses
- Provided equipment
Skills/Tech-stack
AWS | Apache Flink | Apache Kafka | Apache Spark | Cloud platform | Data Engineering | Data Governance | Data Modeling | Data Quality | Data Vault | Dimensional Modeling | Google Cloud | Google Cloud Platform | Lakehouse Architecture | Microsoft Azure | Observability | Python | Reliability Engineering | SQL | Streaming systems
Education
N/A
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