Full Stack Data Engineer
Tasks
- Automate data platform processes for reliability
- Build data curation pipelines
- Collaborate with architects and stakeholders on data best practices
- Create documentation for data engineering processes
- Design scalable data ingestion pipelines
- Implement data governance and security controls
- Manage data workflow orchestration
- Monitor and improve resource utilization and cost
- Optimize data pipelines performance and scalability
- Provision cloud infrastructure using Infrastructure as Code
- Troubleshoot data pipeline and microservices issues
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Astronomer | CI/CD | Cloud Dataflow | Cloud Functions | Cloud PubSub | Cloud Run | DBT | Data Governance | Data encryption | Data masking | Dataform | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud PubSub | Infrastructure as Code | Java | Microservices | MySQL | NoSQL | PostgreSQL | Python | SQL | Service Oriented | Service-Oriented Architecture | Tekton | Terraform | “as-code”
Education
Roles
Data Engineer | Engineer | Full Stack | Full Stack Data Engineer | Software Engineer
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