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Support investment analytics by building data pipelines and ensuring data flow for performance and risk reports. Work involves ETL processes, automation, and data quality using Python, SQL, and Databricks.
Build data pipelines for investment analytics and reporting using Python, SQL, Databricks, and cloud platforms to ensure smooth data flow for performance reports across global multi-asset portfolios.
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