Transformational Data Engineer Role

About

Lead enterprise data architecture as a strategic Data Engineer. Develop analytics-ready data models and secure data infrastructure while enhancing performance and compliance across international networks.

This hands-on role supports data needs for various stakeholders. You will design and implement robust data ingestion pipelines in Azure, utilizing Snowflake and dbt to optimize data workflows. Your collaboration with Analytics teams will ensure solutions align with business KPIs and drive operational excellence.

Key Responsibilities:

• Design and maintain data ingestion pipelines in ADF
• Implement secure integrations with Snowflake systems
• Develop Snowflake data models aligned with Medallion Architecture
• Build and manage CI/CD pipelines for dbt frameworks
• Document pipelines and transformations for team adoption

Requirements:

• 5+ years in data engineering roles
• Strong experience with dbt, Azure, and Snowflake
• Bachelor’s degree in relevant field required
• Advanced degrees or certifications preferred
• Proven track record in cloud data solutions

Enable data-driven solutions with your expertise, ensuring optimized, secure, and scalable data workflows.