Snowflake/ Databricks Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines using Snowflake or Databricks, Microsoft Azure
• Lead integration efforts by extracting data from external sources and ingesting it into Snowflake
• Develop and maintain data models and transformation processes that convert raw data into trusted
• Collaborate with stakeholders to create reliable data assets that support data commercialization
• Participate in sprint planning, backlog grooming, daily stand-ups, and other Agile activities using
• Support the transition from legacy data integration tools, such as SnowMirror, to modern

🎯 Requirements

• At least 5 years of experience in data engineering, data architecture, or a related technical field.
• Strong hands-on experience with Snowflake, Databricks, and Microsoft Azure in enterprise
• Practical experience with Azure Service Bus and enterprise data integration processes.
• Proven ability to design and develop scalable data pipelines, data models, and data architectures.
• Experience extracting data from external sources, managing ingestion workflows, and transforming
• Familiarity with Agile development practices and tools such as Jira, ServiceNow, and Azure DevOps.

🎁 Benefits

• Full-time position.
• Remote opportunity, open to candidates across the United States.
• Opportunity to work with modern cloud data platforms and enterprise-scale data engineering
• Involvement in data commercialization, self-service analytics, automation, and AI-driven data