Data Engineer

Data Engineer

Job Summary:

We are seeking a motivated and skilled Data Engineer to join our dynamic team. In this role, you'll leverage your expertise in Snowflake, dbt, ADF, and SQL to design, build, and optimize our data pipelines, ensuring reliable data flow and accessibility for our analytics needs.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Snowflake and Azure Data Factory (ADF) for efficient data integration.
• Implement data transformation processes with dbt to ensure high-quality and accessible datasets for analytical purposes.
• Collaborate with stakeholders to define data requirements and translate them into technical specifications.
• Monitor and optimize data workflows, identifying and troubleshooting performance issues proactively.
• Develop and manage SQL queries and stored procedures to support business intelligence applications.
• Utilize Azure DevOps for version control, project management, and CI/CD processes to streamline data deployment.
• Document data engineering processes and architectures to facilitate knowledge sharing across the team.

Requirements:

• 7+ years of experience in data engineering or similar roles with a strong emphasis on Snowflake and Azure.
• Proficient in SQL and experience with data modeling principles and best practices.
• Hands-on experience with Azure Data Factory (ADF) for data orchestration and ETL processes.
• Solid understanding of dbt (data build tool) for managing data transformation workflows.
• Familiarity with Azure DevOps, including CI/CD pipelines and version control best practices.
• Strong analytical and problem-solving skills to interpret complex data sets.
• Excellent communication skills and the ability to work collaboratively in a hybrid work environment.