Data Engineer - DBT, Airflow, Snowflake

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About the Role:

We are seeking a skilled Data Engineer

Key Responsibilities:

• Design and implement dimensional data models for enterprise reporting and analytics.
• Develop and manage DBT models for data transformation and business logic.
• Build and maintain Airflow DAGs for end-to-end data pipeline orchestration.
• Manage and optimize data workflows in Snowflake Data Warehouse, including ETL processes.
• Write complex SQL queries for data processing and performance optimization.
• Integrate and process data from multiple sources, including APIs, MySQL, and SQL Server.
• Implement and maintain CI/CD pipelines for data projects using Git and DevOps tools.
• Utilize Python for automation and pipeline management within Airflow.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.

Required Skills & Experience:

• 4–6 years of experience as a Data Engineer or similar role.
• Hands-on experience in DBT development and maintenance for data transformation.
• Practical expertise in Apache Airflow, including DAG design and management.
• Strong working knowledge of Snowflake or similar cloud-based data warehouses.
• Advanced SQL skills for data extraction, transformation, and modeling.
• Experience with multiple data sources, including APIs, MySQL, and SQL Server.
• Familiarity with CI/CD pipelines, Git, and DevOps best practices.
• Proficiency in Python, especially for automation and workflow orchestration.
• Strong analytical mindset and ability to translate business requirements into technical solutions.

Preferred Qualities:

• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills.
• Experience in fast-paced, agile environments.

Key Skills to Highlight:

• DBT, Airflow, Snowflake Data Warehouse, Git, CI/CD, Python, SQL, API Integration