Description

You will architect and deliver scalable data processing solutions using Python and PySpark.

This role is on-site.

Responsibilities

• Design, develop, and maintain Python and PySpark applications for large-scale data processing and analytics.
• Implement unit testing and code quality checks using Pytest and Pylint.
• Design, optimize, and troubleshoot complex tSQL queries for data ETL processes.
• Develop and manage data integration workflows using ETL/ELT frameworks and enterprise schedulers.
• Collaborate with cross-functional teams to gather requirements and produce system design documents.

Required Skills

• 10+ years of experience in Python development.
• Hands-on experience with Python and PySpark.
• 5+ years of full-time development experience using Python.
• 5+ years working with tSQL, XML, and enterprise schedulers.
• Proficiency in algorithms, data structures, and architectural design patterns.
• Extensive experience across the entire Software Development Life Cycle (SDLC).
• Experience writing Python applications using frameworks like Django, Flask, or Pyramid.

Key Skills

Education

Any Graduate