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
• Databricks experience
• Large‑scale data systems expertise
• Client‑facing delivery background
• Independent problem‑solving in ambiguous settings

Nice To Have

• AWS Glue and Lake Formation
• Airflow and orchestration tools
• ...