Databricks Data Engineer / Developer

📋 Description

• Design, develop, and maintain scalable data pipelines within an enterprise data platform
• Build and optimize ETL/ELT processes for ingestion, transformation, integration, and analytics.
• Develop reusable data solutions using Databricks and cloud-based data technologies.
• Apply AI-assisted and agentic development approaches to improve productivity while upholding
• Support data platform modernization, including migrations to modern architectures.
• Collaborate with data architects to implement lakehouse solutions and platform improvements.

🎯 Requirements

• 3+ years of hands-on Databricks development experience.
• 4+ years in data engineering, ETL development, data integration, or related fields.
• Strong experience designing and developing ETL/ELT pipelines and transformation workflows.
• Proven ability to work with large and complex datasets.
• Experience in cloud-based data platforms and lakehouse architectures.
• Proficiency in SQL and Python development.

🎁 Benefits

• Fully remote opportunity within Canada.
• 6-month contract opportunity on a high-impact enterprise transformation initiative.
• Work on modern data platform architecture and cloud-based technologies.
• Exposure to enterprise-scale analytics, AI, and data-driven initiatives.
• Collaborate with experienced data professionals, architects, and stakeholders.
• Contribute to innovative solutions using Databricks and lakehouse technologies.