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About the Role

Join the Total Fund Management Portfolio Management Technology team as a hands-on Data Engineer, focusing on building and optimizing large-scale cloud data systems with Spark/PySpark and modern storage formats.

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

Requirements

• 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

Skills

• Python
• PySpark
• Apache Spark
• Databricks
• Parquet
• Iceberg
• AWS Glue
• Lake Formation
• Airflow
• Orchestration tools
• Distributed data architectures
• Capital markets