Senior Data Reliability Engineer AWS
Tasks
- Create and maintain runbooks and SOPs
- Define data SLAs and ensure adherence
- Design monitoring and alerting
- Develop automation to reduce operational toil
- Diagnose data pipeline failures
- Implement durable fixes
- Own reliability of production data pipelines
- Participate in off hours production support
- Perform root cause analysis
- Resolve production incidents
- Support disaster recovery planning
Perks/Benefits
- Business casual environment
- Family and Medical Leave FMLA
- Financial advisory services
- Medical, dental, vision and life insurance
- Paid disability insurance
- Paid parental leave
- Paid time off
- Paid volunteer time
- Retirement savings (401k)
- Tuition reimbursement
Skills/Tech-stack
AWS | Alerting | Amazon DynamoDB | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Spark | Automation | Backfill | CDC | Cause analysis | Data Pipelines | Data Quality | Disaster Recovery | Incident Response | Kafka | Monitoring | Observability | Python | Reprocessing | Root Cause Analysis | Root cause | SQL | Streaming
Education
N/A
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