Data Engineering - Data Ingestion & Infrastructure
Tasks
- Apply site reliability engineering practices for data pipelines
- Build ingestion flow logic across deployments
- Build self serve onboarding tooling for data sources
- Conduct blameless post-mortems
- Contribute to infrastructure as code deployment pipelines
- Design data extraction ingestion pipelines
- Develop automated testing and assurance for data pipelines
- Implement data contracts for ingestion quality
- Maintain onboarding tooling and standards
- Mentor junior data engineers
- Participate in agile scrums and solution reviews
- Participate in on-call rotation
- Perform application impact assessments for onboarding requests
- Resolve critical operational issues
- Support shared GKE cluster operations
Perks/Benefits
Skills/Tech-stack
Ansible | BigQuery | Cloud platform | Data Modeling | Data Quality | GKE | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Kafka | Kubernetes | On-Call | Pulumi | Python | Reliability Engineering | SQL | Site Reliability | Site Reliability Engineering | Streaming Data | Terraform | Test automation | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
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