Data Engineer

We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with Spark/PySpark and modern storage formats.

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

MUST HAVE

• Strong Python and PySpark
• Hands-on Apache Spark, cloud preferred
• Independent problem-solving in ambiguous settings