Python - Data Processing

Role & Responsibilities

• Develop and maintain data processing applications using Python.
• Design and implement ETL workflows for large datasets.
• Process, clean, and transform structured and unstructured data.
• Develop automation scripts for data operations.
• Work with SQL databases and optimize queries.
• Ensure data quality, validation, and reconciliation.
• Collaborate with business and technical teams.

Preferred Candidate Profile

• 5-8 years of Python development experience with data processing experience.
• Strong experience with Pandas and NumPy.
• Good SQL and database skills.
• Experience in ETL and data processing projects.
• Knowledge of automation and scripting.
• Strong analytical and problem-solving skills.