Proficiency in Azure, Data Bricks Notebooks, SQL, Python or PySpark notebooks development.
Knowledge on any ERP and about the dataflows in ERP.
Strong knowledge of ETL tools and processes.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS).
Comprehensive knowledge of Azure cloud services.
Experience with Databricks notebooks for building transformations and creating tables.
Experience in Alteryx and PowerBI for data analysis and visualization purpose.
Microsoft Fabric and Azure AI services is an added advantage.
Understanding of audit processes, financial data structures, and risk assessment routines.

Azure Data Engineer - SQL/Python/PySpark

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