Explore a Data Engineer position at Total Fund Management, where you'll focus on building and optimizing cloud data systems using Spark and PySpark. 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:
Robust proficiency in Python and PySpark
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