Azure Data Engineer

JobDescription:

We are seeking a highly skilled Senior Data Engineer with strong expertise in Azure data ecosystem, Snowflake, and modern data transformation frameworks. The ideal candidate will have extensive hands-on experience in Azure Data Factory, DBT, SQL, and Azure DevOps, with a solid understanding of CI/CD implementation for data pipelines. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Azure Data Factory , DBT , and Snowflake .
• Build and optimize SQL queries, data models, and transformations for analytics and reporting.
• Implement and manage CI/CD pipelines in Azure DevOps to support automated deployment of data workflows.
• Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver high-quality solutions.
• Optimize data pipeline performance, reliability, and scalability across cloud environments.
• Ensure best practices in coding standards, version control, testing, and documentation.

Required Skills & Qualifications:

• 7+ years of professional experience in data engineering or related roles.
• Strong hands-on experience with Azure Data Factory (ADF) .
• Proficiency in DBT for transformations and modeling.
• Advanced knowledge of SQL and data warehousing concepts.
• Experience working with Snowflake as a cloud data platform.
• Strong exposure to Azure DevOps , particularly CI/CD pipelines for data deployments.
• Solid understanding of cloud architecture and data integration patterns.
• Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications (Optional):

• Experience with Python or other scripting languages.
• Knowledge of DataBricks or other cloud data tools.
• Exposure to Agile delivery environments.