Data Engineer - Archimedes
Earth City, MO, United States
USD 102K-186K (estimate) Mid-level Full Time
Tasks
- Automate data quality validation
- Build data models and schemas
- Design ETL pipelines
- Develop cloud data integrations
- Document data flows and architecture
- Enforce access controls and encryption
- Evaluate and integrate new data tools
- Implement CI/CD workflows
- Maintain data governance logging
- Monitor data pipeline performance
- Optimize data storage and retrieval
- Participate in sprint planning and code reviews
- Troubleshoot pipeline latency and failures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudWatch | AWS Glue | AWS Lambda | Access Control | Amazon RDS | Amazon Redshift | Amazon S3 | Apache Airflow | Audit Logging | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Monitor | Azure Synapse | Azure Synapse Analytics | Bash | Blob Storage | CI/CD | Data Factory | Data Governance | Data Lineage | Data Quality | ELK Stack | ETL | Encryption | Git | GitHub Actions | Jenkins | PostgreSQL | Powershell | Python | SQL | SQL Server | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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