Data Reliability Engineer
Tasks
- Contribute to disaster recovery and resiliency planning
- Create and maintain runbooks and operational documentation
- Define improve and enforce data SLAs and SLOs
- Design and enhance monitoring alerting and observability
- Develop automation and tooling to reduce operational toil
- Diagnose and resolve pipeline failures delays and data quality issues
- Investigate issues across distributed data systems
- Lead incident response including triage mitigation and long term resolution
- Own reliability and stability of production data pipelines and platform services
- Perform root cause analysis and implement durable fixes
- Support production off hours as required
Perks/Benefits
- 401k matching
- Business resource groups
- Family and medical leave
- Flexible work environment
- Health insurance
- Internal mobility
- Paid disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Tuition reimbursement
- Work-life balance
Skills/Tech-stack
AWS | Alerting | Amazon DynamoDB | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Anomaly Detection | Apache Spark | Automation | Backup validation | CDC | Cause analysis | Data Pipelines | Data Quality | Data Reconciliation | Data SLAs | Data SLOs | Data Validation | Disaster Recovery | Distributed Systems | Incident Response | Kafka | Monitoring | Observability | Python | Root Cause Analysis | Root cause | Runbooks | SQL | Streaming Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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