Adf Developer

About the Role

We are looking for a Mid-Level Microsoft Azure Data Factory (ADF) Developer with hands-on experience in designing, developing, and maintaining data pipelines on Azure. The ideal candidate will have a solid background in Azure Data Factory (ADF) as the primary skill set, along with experience in Azure Integration Services (AIS). This role requires a strong understanding of modern data integration, ETL/ELT processes, and cloud-based data solutions.

Key Responsibilities

• Design, develop, and implement data pipelines using Azure Data Factory (ADF).
• Integrate data from various on-premises and cloud sources into Azure data platforms.
• Work with Azure Integration Services (AIS) components such as Logic Apps, API Management, Service Bus, and Event Grid.
• Develop and optimize ETL/ELT workflows and ensure data quality, reliability, and performance.
• Collaborate with data engineers, solution architects, and business analysts to meet project objectives.
• Implement and maintain CI/CD pipelines for ADF and AIS solutions.
• Troubleshoot data integration issues and provide timely resolutions.
• Maintain detailed documentation of design, development, and deployment activities.

Required Skills & Qualifications

• 36 years of experience in Azure-based data integration and development.
• Strong expertise in Azure Data Factory (ADF) — including pipeline orchestration, data flows, and triggers.
• Experience with Azure Integration Services (AIS) such as Logic Apps, Service Bus, or API Management.
• Good understanding of Azure SQL Database, Azure Data Lake, and related services.
• Familiarity with PowerShell, Azure DevOps, or ARM/Bicep templates for automation and deployment.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications

• Microsoft Azure certifications (e.g., Azure Data Engineer Associate or Azure Developer Associate).
• Experience with data transformation, mapping, and performance tuning in large data environments.
• Knowledge of data governance, security, and compliance best practices in Azure.