Senior DataOps Engineer
Tasks
- Automate data quality validation
- Build and maintain data catalog
- Develop reusable infrastructure patterns and standards
- Enforce data governance practices
- Establish observability frameworks for data pipelines
- Lead incident response with root cause analysis
- Maintain CI/CD pipelines and infrastructure-as-code
- Manage data platform release workflows
- Monitor and troubleshoot pipeline performance
Perks/Benefits
- Daily breakfast
- EAP access
- Flexible career development
- Hands-on learning
- Happy hour
- Learning and development platform
- Mentorship
- On site Barista Services
- Open Pantry Snacks and Refreshments
- Paid volunteer day
- Remedial massage
- Team lunches
- Training
- Work from home option
Skills/Tech-stack
AWS | Access Control | Airflow | Amazon Kinesis | Automated alerting | CI/CD | Cause analysis | Compliance | Compliance requirements | Dagster | Data Catalog | Data Governance | Data Lineage | Data Quality | Data Streaming | Data Testing | Data discovery | Data orchestration | Encryption | GDPR | ISO | Incident Response | Infrastructure as Code | Kafka | Logging | Observability | PII handling | Postmortems | Prefect | Python | Release Management | Retry logic | Root Cause Analysis | Root cause | SQL | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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