Description

You will design and develop reusable Python libraries and PySpark frameworks for large-scale data processing and transformation.

This role is hybrid.

Responsibilities

• Design and develop reusable Python libraries using Object-Oriented Programming principles.
• Build frameworks that execute PySpark commands for large-scale data processing.
• Write clean, modular, and efficient code for complex data transformation tasks.
• Optimize data pipeline performance and scalability.
• Implement data pipeline orchestration.

Required Skills

• 8+ years of professional experience as an ETL Developer.
• Strong proficiency in Python with a focus on Object-Oriented Programming (OOP).
• Hands-on experience with PySpark and Spark-based distributed data processing.
• Experience building scalable and reusable ETL frameworks or libraries.
• Knowledge of data pipeline orchestration.
• Degree in any graduate field.

Key Skills

Education

Any Graduate