CLOUD AMAZE - Sr. DW Architect (Practice)
Tasks
- Apply data governance
- Build data ingestion pipelines
- Build metadata-driven pipelines
- Build realtime data processing pipelines
- Create Power BI visualizations
- Create data transformation pipelines
- Debug existing ETL pipelines
- Design and build batch data processing pipelines
- Design and build near realtime data processing pipelines
- Design data pipeline performance solutions
- Develop ETL pipelines
- Ensure data quality
- Ingest and transform data
- Migrate data to cloud platforms
- Perform data discovery and analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Purview | Azure Synapse | Azure Synapse Analytics | Batch Data Processing | Batch data | Data Analysis | Data Factory | Data Governance | Data Lake Storage | Data Processing | Data Quality | Data discovery | Data integration | Data pipeline | ETL | Metadata Driven | Metadata driven pipelines | Microsoft Azure | Microsoft Azure Data | Microsoft Azure Data Factory | Near-real-time | Near-real-time Processing | Power BI | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | Real-time Processing | Synapse Analytics | Time processing
Education
N/A
Roles
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