#10500 - Data Engineers, DOE
Tasks
- Build BI projects
- Build data warehousing projects
- Communicate findings to technical and business teams
- Deliver analytics projects
- Deploy and administer Cloud BI and Analytics
- Design ETL architecture
- Develop ETL solutions
- Develop testing strategies
- Guide data ingestion best practices
- Implement ETL pipelines
- Implement data conversion strategies
- Manage data ingestion
- Manage data warehousing and data management
- Provide ongoing support
- Test data pipelines
- Translate business requirements to technical specifications
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud BI | Cloud platform | Data Cleansing | Data Ingestion | Data Management | Data Modeling | Data Quality | Data Standardization | Data Visualization | Data Warehousing | Data quality profiling | ETL | Google Cloud | Google Cloud Platform | Master Data | Master Data Management | Metadata Management | Microsoft SQL | Microsoft SQL Server | Oracle | SQL | SQL Server | Snowflake | Teradata
Education
N/A
Roles
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