Explore a Data Engineer position at Total Fund Management, where you'll focus on building and optimizing cloud data systems using Spark and Py Spark. This role emphasizes technical proficiency and innovation.
As a member of the Portfolio Management Technology team, you will create and optimize Spark workloads and utilize large datasets with up-to-date storage formats like Parquet and Iceberg. Your role is critical for translating requirements into solid engineering solutions and ensuring ongoing performance and reliability across systems.
Key Responsibilities:
• Develop and optimize Spark workloads in cloud environments
• Work with large datasets using Parquet and Iceberg
• Translate requirements into robust engineering solutions
• Ensure performance, reliability, and maintainability
• Contribute to monitoring, documentation, and deployment
Requirements:
• Strong proficiency in Python and Py Spark
• Experience with Apache Spark in a cloud setting
• Ability to problem-solve independently in challenging scenarios
Drive impactful data solutions at Total Fund Management through your engineering expertise.

📌 Total fund management data engineer role (Toronto)
🏢 Glint Tech Solutions
📍 Toronto