Apply on Kit Job: kitjob.ca/job/2g91fx

Elevate data solutions as a skilled Data Engineer adept in Python. Focus on creating scalable ETL patterns and robust data pipelines in a hybrid work workplace.
This role demands proficiency in data engineering, especially Python for developing and maintaining data workflows. You'll work alongside data architects to ensure seamless integration and uphold data integrity through quality checks and error handling. Collaborating in Agile frameworks, you will have the opportunity to enhance business decision-making through your expertise.
Key Responsibilities:
• Develop and maintain scalable data pipelines using Python
• Collaborate on data integration requirements with architects
• Translate mapping documents into actionable data workflows




• Implement quality checks to ensure data integrity
• Work with cloud-based data warehouses like Snowflake
Requirements:
• 2+ years of experience in data engineering focused on Python
• Experience with ETL tools like Matillion or DPC
• Strong SQL skills and familiarity with cloud platforms
• Understanding of data quality practices and error handling
• Exposure to version control systems like Git
Leverage your Python skills to drive innovative data solutions and embody excellence in data integration.
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Apply on Kit Job: kitjob.ca/job/2g91fx

📌 Data Engineer with Python Expertise (Toronto)
🏢 Project
📍 Toronto