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.