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 deploymentRequirements:
- Strong proficiency in Python and Py Spark
- Experience with Apache Spark in a cloud setting
- Ability to problem-solve independently in challenging scenariosDrive impactful data solutions at Total Fund Management through your engineering expertise.#J-18808-Ljbffr

📌 Total Fund Management Data Engineer Role (Toronto)
🏢 Glint Tech Solutions
📍 Toronto