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.

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 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru