Data Engineer
Tasks
- Build data pipelines and notebooks
- Build reliable restartable ingestion processes
- Conduct code reviews and pair programming
- Develop SQL Python PySpark Spark SQL transformations
- Document solutions and naming conventions
- Implement lakehouse and warehouse medallion architecture
- Manage deployments and Git workflows
- Model data into dimensional star schemas
- Monitor optimize and troubleshoot data pipelines
- Set up CI/CD pipelines and release processes
- Unlock source systems
Perks/Benefits
- N/A
Skills/Tech-stack
3NF | API | Agile | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Modeling | Data Quality | Data Warehouse | Dataverse | Dimensional Modeling | Event Streams | Eventhouse | Git | KQL | Kimball Method | Lakehouse | Medallion Architecture | Microsoft Fabric | Microsoft Purview | PySpark | Python | SAP | SQL | Scrum | Spark SQL | Star Schema | Synapse Analytics | Warehouse
Education
N/A
Roles
Regions
Countries
States
Cities
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