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Job Description & How to Apply Below
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
- 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
- AWS Glue and Lake Formation
- Airflow and orchestration tools
- Distributed data architectures
- Capital markets exposure
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