Data Engineer / Developer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and maintain data pipelines within the Enterprise Data Platform (EDP).

• Build and enhance ETL/ELT processes for data ingestion, transformation, and integration.

• Adopt an Agentic approach to development, ensuring that outputs adhere to development standards.

• Create scalable and reusable data solutions utilizing Databricks and cloud-based data technologies.

• Assist in the migration and modernization from HANA environments to a contemporary data platform.

• Collaborate with Data Architects to develop scalable data models and platform solutions.

• Formulate transformation logic and workflows to meet business and analytics requirements.

• Ensure the quality, integrity, consistency, and performance of data.

• Diagnose data issues, bottlenecks, and performance challenges.

• Engage in code reviews, testing, deployment, and release processes.

• Partner with business and analytics teams to grasp requirements and deliver tailored solutions.

• Contribute to best practices, documentation, and continuous improvement of the platform.

⛳️ Requirements

• A minimum of 3 years of practical Databricks development experience.

• Over 4 years of comprehensive experience in Data Engineering, ETL, or Data Integration.

• Extensive experience in constructing ETL/ELT data pipelines and transformation processes.

• Demonstrated experience handling large and complex datasets.

• Experience in developing data solutions within cloud-based platforms.

• Strong understanding of data warehousing, data lake, and lakehouse concepts.

• Experience in Agile delivery environments.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration skills.

• Familiarity with Agentic frameworks and AI-assisted coding is considered a plus.

• Preferred: experience in supporting large data platform initiatives.

• Preferred: background in significant data migration efforts.

• Preferred: experience with Azure Data Services and Databricks Lakehouse architecture.

• Preferred: knowledge of modern data engineering frameworks and best practices.

• Preferred: exposure to AI, GenAI, Machine Learning, or advanced analytics initiatives.

• Preferred: experience in large enterprise or consulting environments.

• Preferred: understanding of data governance, metadata management, and data quality frameworks.

• Must have authorization to work in Canada.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Engaging company culture that fosters collaboration and innovation.