Job Description
What you ’ll doDesign, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management. Collaborate closely with data scientists, analysts, and portfolio managers to understand data needs and deliver scalable data infrastructure. Ingest, process, and normalize large volumes of structured and unstructured financial data from a variety of sources. Optimize performance of data pipelines and ensure high availability, reliability, and data quality across all production systems. Implement data governance best practices, including data lineage, cataloging, auditing, and access controls. Support the integration of third-party data vendors and APIs into the broader data ecosystem. Continuously evaluate and implement new tools and technologies to improve data engineering capabilities, with a focus on cloud-native and distributed processing frameworks.
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