JD for Azure Data Factory.

Key Responsibilities:

Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF).

Build scalable and efficient ETL/ELT workflows for data ingestion, transformation, and loading.

Integrate data from on-premises and cloud-based sources, including Azure SQL, Blob Storage, Data Lake, and REST APIs.

Collaborate with data architects and business analysts to understand data requirements and translate them into robust data solutions.

Implement data validation, error handling, and logging mechanisms within pipelines.

Work with Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Functions as part of the data ecosystem.

Ensure performance optimization and cost-effective design of data workflows.

Participate in code reviews, testing, and deployment of data solutions.

Document pipeline architecture, processes, and configurations.

Stay updated with Azure services, features, and best practices.

📌 Azure Data Factory (Pune)
🏢 Diverse Lynx
📍 Pune