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: • Strong 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