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.