Key Skills: Azure ADF, Azure, Azure AD, Pyspark

Roles and Responsibilities:
Design and develop robust data integration pipelines using Azure Data Factory.
Build and maintain Azure-based data engineering solutions aligned with enterprise architecture standards.
Configure secure identity, authentication, and access controls using Azure Active Directory.
Implement data ingestion, transformation, validation, and orchestration workflows for diverse data sources.
Troubleshoot production data pipelines, improve reliability, and support operational issue resolution.

Skills Required:
8 - 12 years of relevant experience in data engineering and Azure-based solutions.
Robust hands-on experience with Microsoft Azure services and cloud-based data engineering.




Practical experience designing and managing Azure Data Factory pipelines, datasets, linked services, and triggers.
Solid understanding of Azure Active Directory, identity management, authentication, and role-based access.
Experience delivering scalable, secure, and production-ready data integration solutions.

Valuable to Have:
Experience with PySpark for distributed data processing and transformation.

Education: B.E., B.Tech, or B.Tech M.Tech Dual Degree in Computer Science or a related discipline.

📌 Azure Data Engineer Bengaluru
🏢 MyCareernet
📍 Bengaluru