Advance your career as a Senior Data Engineer at Morningstar, featuring a hybrid work model. This role seeks candidates with 5+ years of experience in data engineering and proficiency in Snowflake.
In this position, you'll design and construct end-to-end data pipelines using Snowflake, ensuring data quality and performance through advanced architectures. Your skills in Python, Informatica, and SQL will be essential for developing effective data solutions. Familiarity with Snowflake's AI/ML features will further enhance your contribution to data analytics.
Key Responsibilities:
• Design and manage Snowflake data pipelines
• Implement structured data management with Medallion Architecture




• Create data ingestion solutions using Python and Informatica
• Optimize data models and transformation processes
• Monitor pipelines and ensure high data quality
Requirements:
• At least 5 years of data engineering experience
• Solid hands-on Snowflake and Python skills
• Proven experience in designing data pipelines
• Advanced SQL understanding
• Experience with cloud data architectures and version control
Bring your data engineering expertise to Morningstar, where collaboration and innovation drive success.
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📌 Senior Data Engineer at Morningstar (Toronto)
🏢 Morningstar
📍 Toronto