Job Description
• Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to play an essential role in the data engineering team to enable scalable and repeatable metrics and analytics.
• Collaborate closely with other data scientists and investment analysts, to understand data needs and deliver scalable data pipelines and frameworks.
• Ingest, process, and normalize large volumes of structured and unstructured 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 distribu...
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