Opportunity Description
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 ...
Interested in this opportunity? Apply now through Expertini.
Apply for this Position