Data Ops Engineer
Overland Park, KS, US
USD 95K-160K (estimate) Mid-level Full Time Found 3d ago
Tasks
- Build automated testing frameworks
- Collaborate with engineering and analytics teams
- Communicate during incidents
- Deploy infrastructure using Terraform and AWS services
- Design architectures for data lakes and warehouses
- Develop data automation platforms
- Enforce access controls using AWS IAM, Terraform
- Enhance data quality processes
- Identify and analyze data anomalies
- Implement data quality checks
- Maintain CI/CD pipelines
- Manage metadata with Databricks Unity Catalog
- Monitor systems using Prometheus, CloudWatch, Grafana
- Participate in on-call rotations
- Support data requests and reporting
Perks/Benefits
- 401k
- Employee stock ownership
- Gym benefits
- Medical/Dental/Vision
- PTO
- Sign-on bonus
- Training and development
- Work from home
Skills/Tech-stack
AWS CodeBuild | Automated testing | Automated testing frameworks | Build & Deployment | Build Deployment Technologies | CloudWatch | CodeDeploy | Cross-team | Cross-team Communication | Data Anomalies | Data Governance | Data Lake | Data Reliability | Data Validation | Data Warehouse | Data anomalies analysis | Databricks Unity Catalog | Deployment technologies | Docker | ECR | ECS | GitHub Actions | Glue | Grafana | Java | Lambda | Linux | Metadata Management | Monitoring and Alerting | Operational support | Prometheus | Python | Regression testing | S3 | SQL | Schema checks | Spark | Star Schema | Star Schema Data Warehouse | Team communication | Terraform | Testing Frameworks | Unity Catalog
Education
Analytics | Bachelor's Degree | Computer Science | Engineering
Roles
Language: en |
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