Description

You will build and maintain Python libraries that execute PySpark commands for data engineering workflows.

This role is hybrid.

Responsibilities

• Design and implement object-oriented Python libraries.
• Develop PySpark scripts and commands within those libraries.
• Ensure code quality and modularity in data processing tools.
• Collaborate on ETL pipeline integration and testing.

Required Skills

• 5+ years of professional experience in software development.
• Strong proficiency in Python with a focus on Object-Oriented Programming.
• Hands-on experience with PySpark for data processing.
• Ability to write clean, reusable, and modular code.
• Experience building libraries or SDKs consumed by other applications.
• Bachelor’s degree in any discipline.

Key Skills

Education

Any Graduate