CLOUD AMAZE - DW Architect (Practice)
Tasks
- Apply data governance
- Build metadata-driven pipelines
- Build real time near real time and batch pipelines
- Create data visualizations with Power BI
- Debug ETL and pipeline performance issues
- Design data processing pipelines
- Develop ETL pipelines
- Implement data ingestion and transformations
- Perform data migration
- Write Python and PySpark jobs
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Purview | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Warehousing | Data integration | ETL | Metadata Driven | Metadata driven pipelines | Power BI | PySpark | Python | Synapse Analytics
Education
N/A
Roles
Architect | Data Engineer | Data Warehouse Architect | Engineer
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