Azure Data Engineer_KPMG

Mandatory Requirements:
- 5-7 years of experience in Data Engineering with strong expertise in Azure
cloud and Databricks.
- Hands-on experience in Azure Databricks, including data pipeline
development and optimization.
- Strong proficiency in PySpark for large-scale data processing and
transformations.
- Advanced SQL skills with experience in query optimization and performance
tuning.
- Experience with Azure Data Factory (ADF), ADLS Gen2, and Delta Lakebased architectures.
- Mandatory Certification: Either Databricks Certified Data Engineer
(Associate/Professional) or Microsoft Certified: Azure Data Engineer
Associate (DP-203).
Must-Have Skill Set: Azure Databricks + PySpark + SQL + Certification (Mandatory).

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