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The role requires advanced proficiency in Azure Data Factory and related Azure services, strong understanding of data warehouse design in Azure Synapse Analytics, proficiency in Python for data processing and API integration, familiarity with PowerBI for reports and dashboards, and understanding of Azure cloud architecture.
Responsibilities include designing and maintaining data pipelines, collaborating with stakeholders for requirements and insights, monitoring and troubleshooting ETL processes, transitioning from SSAS Cubes to Data Warehouse with minimal downtime, and supporting PowerBI reporting.
This information is not specified in the job description.
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A strong candidate will have advanced hands-on experience with Azure Data Factory, Azure Synapse Analytics, Python for ETL automation, PowerBI reporting, and Azure cloud architecture, plus the ability to collaborate on data transitions and ensure data quality.