Join a passionate team as a Data Engineer specializing in Python. You'll build high-quality ETL patterns and robust data pipelines in a hybrid work model, empowering analytics and business decision-making.
This role focuses on developing and maintaining data solutions for various stakeholders. You’ll collaborate with data architects and analysts to ensure smooth integration, translating documentation into production-ready workflows. A strong understanding of data quality practices and cloud platforms like Snowflake and Azure will be essential in delivering successful outcomes.
Key Responsibilities:
• Develop and maintain data pipelines using Python and ETL tools
• Collaborate with architects to meet integration requirements
• Translate mapping documents into data workflows
• Ensure data integrity with quality checks and error handling
• Work with cloud-based data warehouses like Snowflake
Requirements:
• 2+ years of experience in data engineering
• Proficient in Python and ETL development
• Strong SQL skills with structured data
• Familiarity with cloud platforms like Snowflake
• Understanding data quality practices and error handling
Leverage your Python skills to create effective data solutions that drive significant business insights while working collaboratively in a energetic environment.
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Apply on Kit Job: kitjob.ca/job/2fsaic
📌 Python Data Engineer for ETL Solutions (Toronto)
🏢 Project
📍 Toronto
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