Azure Data Engineer - SQL/Python/PySpark

Requirements :

- 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.