Description

You will build and maintain data processing pipelines for financial risk programs.

Responsibilities

• Develop data processing logic using Python and Spark.
• Build and optimize PySpark applications for large-scale big data workloads.
• Implement data solutions within a financial risk program context.
• Manage and process large-scale datasets using the big data stack.

Required Skills

• 9+ years of professional experience in data engineering.
• Expert-level proficiency in Python programming.
• Deep expertise with Apache Spark and PySpark.
• Hands-on experience with big data technologies and distributed systems.
• Bachelor's degree in Computer Science, Engineering, or a relevant field.

Preferred Skills

• Previous experience working on projects within the financial sector.
• Specific experience with risk management programs and data.

Key Skills

Education

Bachelor's degree