Tech Stack

Description

You will design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management at Point72. You'll collaborate with data scientists and portfolio managers to deliver scalable data infrastructure, working with large volumes of financial data.

Requirements

• 3-6 years professional experience in data engineering
• Expertise in Databricks, Spark, Delta Lake
• Proficiency in Python and SQL
• Experience with cloud environments (Azure or AWS)
• Bachelor's or master's in computer science or related field

Responsibilities

• Design, develop, and maintain data pipelines and ETL workflows in Databricks
• Collaborate with data scientists and portfolio managers to understand data needs
• Ingest, process, and normalize large volumes of financial data
• Optimize performance and ensure high availability and data quality
• Implement data governance best practices