Data Ops Engineer II
Tasks
- Build and optimize CI/CD pipelines
- Communicate during incidents and coordinate problem solving
- Conduct proofs of concept and translate into implementation tasks
- Create automated testing frameworks for data validation
- Create technical documentation
- Deploy and manage Infrastructure as Code
- Develop DataOps platforms and lifecycle processes
- Implement access controls and data governance
- Implement data quality checks and monitoring
- Implement monitoring and alerting
- Improve runbooks and reduce alert noise
- Manage metadata and data cataloging
- Perform root cause analysis for data anomalies
- Provide operational support for reporting and API requests
- Scale data lake and data warehouse architectures
Perks/Benefits
- Company 401(k) contributions
- Competitive PTO
- Employee stock ownership
- Gym benefits
- Medical, dental, and vision
- Training and development
- Work from home
Skills/Tech-stack
API | AWS CodeBuild | AWS CodeDeploy | AWS IAM | Automated testing | CI/CD | Cause analysis | CloudWatch | Data Quality | Data quality monitoring | DataOps | Databricks | Databricks Unity Catalog | Delta Lake | Docker | ECR | ECS | EKS | GitHub Actions | Grafana | Infrastructure as Code | Java | Lambda | Linux | Prometheus | Python | Quality monitoring | Root Cause Analysis | Root cause | S3 | SOC 2 | SQL | Spark Streaming | Terminal | Terraform | Unity Catalog | “as-code”
Education
Roles
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