Data Engineer
Tasks
- Build reusable data pipelines
- Conduct impact analysis
- Deliver code in agile teams
- Design data engineering solutions
- Develop data engineering documentation
- Develop scalable data processing and storage
- Document data flows
- Gather data requirements
- Implement CI/CD pipelines
- Implement batch and real-time ingestion
- Implement data governance model
- Maintain data lineage
- Optimize workflow performance and cost
- Perform data mapping
- Provide production support
- Run root cause analysis
- Use monitoring and logging
Perks/Benefits
- Community service paid time off
- Dental insurance
- Employee resource groups
- Flexible family care
- Hybrid work
- Medical insurance
- Option to purchase additional vacation time
- Paid Holidays
- Paid time off
- Parental leave
- Prescription Drug Coverage
- Subsidized back-up child care
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
Airflow | Apache Kafka | Artifact Registry | BigQuery | Cloud Composer | Cloud Data Fusion | Cloud Functions | Cloud PubSub | Cloud Run | Cloud SQL | Cloud Storage | Cloud platform | Compute Engine | Continuous Deployment | Continuous integration | Data Fusion | Data Governance | Data Warehousing | Dataflow | GitHub | Google Cloud | Google Cloud Data | Google Cloud Data Fusion | Google Cloud Platform | Google Cloud PubSub | Infrastructure as Code | Jenkins | SQL | Tekton | Teradata | Terraform | Test-Driven | Test-Driven Development | “as-code”
Education
Roles
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