Data Platform Engineer
Tasks
- Build and deploy infrastructure as code
- Build and operate data pipelines and transformations
- Collaborate on AI assisted engineering workflows
- Create bash automation for operational tasks
- Design and operate RBAC and least privilege access
- Implement CI/CD workflows
- Monitor data platform infrastructure and pipelines
- Participate in on-call incident response
- Support data platform migration from legacy stack
- Troubleshoot data pipelines and reporting workflows
- Troubleshoot pipeline failures using logs and metrics
- Validate cutover and decommission workloads
- Write Python automation for platform tooling
- Write runbooks and platform documentation
Perks/Benefits
- Documentation and knowledge sharing culture
- On demand incident response
- On-call support
- Remote-first work
Skills/Tech-stack
AWS | Airflow | Automated testing | Bash | BigQuery | CI/CD | Cloud infrastructure | CloudWatch | DBT | Docker | Git | GitHub | Grafana | Helm | IAM | Incident Management | Kafka | Kubernetes | Least Privilege | Monitoring | Observability | Prometheus | Pull Requests | Python | RBAC | SQL | Snowflake | Terraform
Education
N/A
Roles
Data Engineer | Data Platform | Data Platform Engineer | Engineer | Platform | Platform Engineer
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