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 and 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 skills
• Hands‑on Apache Spark experience, 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 ...