Description

You will build and maintain data pipelines and big data applications.

This role is on-site.

Responsibilities

• Design data pipelines to support big data applications.
• Develop scalable data processing workflows.
• Optimize existing SQL queries and data structures for performance.
• Implement data logic using PySpark and Python.

Required Skills

• 5+ years of professional experience in data development.
• Advanced SQL for complex data manipulation and optimization.
• Hands-on experience with PySpark for distributed computing.
• Proficiency in Python programming.
• Experience building and maintaining data pipelines.
• Degree in any field (Any Graduate).

Key Skills

Education

Any Graduate