M06 - Data Engineer
Tasks
- Apply server patches
- Define data attributes
- Define dataset naming conventions
- Develop API integrations
- Develop data models
- Develop data schemas
- Document data engineering changes
- Enhance data pipelines
- Establish data quality zones
- Fix broken pipelines
- Handle application configuration changes
- Implement data pipelines
- Manage data platform
- Manage user access
- Monitor data pipelines
- Perform configuration reviews
- Perform source code reviews
- Prevent hardcoded sensitive information
- Set up data pipelines
- Test changes across environments
- Transfer data using SFTP
- Troubleshoot operational issues
- Upgrade software versions
- Use Azure Data Factory
- Use DataBricks
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS Lambda | Amazon Web Services | Azure Data | Azure Data Factory | Azure Functions | Azure Key Vault | Bash | CI/CD | Data Factory | Data Modeling | Database Design | Databricks | Docker | ETL | Geopandas | Git | GitLab | Jenkins | JupyterHub | Key Vault | Kubernetes | MS SQL | Microsoft Azure | Oracle | Pandas | Pipeline monitoring | PostgreSQL | PowerBI | Powershell | PySpark | Python | RStudio | SFTP | SQL | Shapely | Web Services | YAML
Education
N/A
Roles
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