Azure Data Factory Developer

Job Summary:

We are looking for an experienced Azure Data Factory Developer to design, develop, and maintain scalable data integration solutions on the Azure platform. The ideal candidate will have hands-on experience with Azure Data Factory (ADF), ETL processes, and data orchestration to support our data engineering and analytics initiatives.

Roles and Responsibilities:

• Design, develop, and deploy data pipelines using Azure Data Factory.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and loading from various sources.
• Monitor and troubleshoot data pipelines to ensure data accuracy and system performance.
• Collaborate with data engineers, architects, and business teams to understand data requirements and translate them into technical solutions.
• Implement best practices for data security, governance, and performance tuning in Azure environments.
• Work with Azure services such as Azure SQL Database, Blob Storage, Synapse Analytics, and Data Lake Storage.
• Automate workflows and data orchestration to improve efficiency.
• Document technical designs and operational procedures.

Required Skills and Qualifications:

• 4 to 7 years of experience in data integration and ETL development.
• Strong expertise in Azure Data Factory, including pipeline creation, triggers, mapping data flows, and integration runtime.
• Experience with other Azure data services like Azure Data Lake, Azure SQL Database, Azure Synapse, and Blob Storage.
• Proficient in SQL and scripting languages (e.g., Python, PowerShell) for automation and data manipulation.
• Understanding of data warehousing concepts and big data technologies is a plus.
• Experience with version control, CI/CD pipelines, and DevOps practices is beneficial.
• Good problem-solving skills and ability to work independently or in a team environment.
• Strong communication skills to interact with stakeholders.