Description

You will own the design and implementation of data engineering solutions on the Azure platform, ensuring data governance and security standards are met.

This role is hybrid.

Responsibilities

• Build and maintain data pipelines using Azure Data Factory, Azure Databricks, and PySpark.
• Develop and optimize SQL queries, stored procedures, and data models.
• Implement data governance and security protocols across the Azure ecosystem.
• Create and manage reports using Power BI Report Server.
• Collaborate on data lake architecture and integration with Azure services.

Required Skills

• 13+ years of experience in Azure Cloud Data Engineering.
• Strong proficiency in Python and SQL (mandatory).
• Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Experience with PySpark for large-scale data processing.
• Databricks Certified Data Engineer Associate certification (required).
• Understanding of data governance and security on Azure.

Preferred Skills

• Familiarity with .NET/C#, Azure Synapse Analytics, and Azure SQL Database.
• Experience with Google Cloud Platform (GCP), BigQuery, or Azure Cosmos DB.
• Azure Security Engineer Associate or Azure Solutions Architect Expert certifications.

Key Skills

Education

Any Gradute