Data Reliability Engineer
Tasks
- Build monitoring and observability
- Define data SLAs
- Develop automation and tooling
- Diagnose data pipeline failures
- Investigate distributed data system issues
- Lead incident response for data platforms
- Maintain runbooks and SOPs
- Own reliability of production data pipelines
- Perform production on call support
- Perform root cause analysis
- Support disaster recovery and resiliency planning
Perks/Benefits
- Business resource groups
- FMLA
- Health insurance
- Long-term disability
- Paid Holidays
- Paid parental leave
- Paid time off
- Paid volunteer time
- Retirement savings (401k)
- Short-term disability
- 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 Quality | Disaster Recovery | Incident Response | Kafka | Monitoring | Observability | Python | Reprocessing | Root Cause Analysis | Root cause | SQL
Education
N/A
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