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.




• Strong 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. Good 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_105657 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru