Python Developer - Data Processing (Female)

Infosys; Hyderabad, Pune District, Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infosys in Hyderabad is seeking a Python data engineer to develop and maintain data processing applications and to design ETL workflows for large datasets.

The role involves processing, cleaning, and transforming structured and unstructured data, creating automation scripts, and optimizing SQL queries while ensuring data quality and reconciliation.

Qualifications

• 2–5 years of Python development 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.

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.

Skills

Python development

Data processing

Problem solving

Analytical thinking

Collaboration

Tools

Pandas

NumPy

SQL

ETL

Automation

Job description

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

• 2-5 years of Python development 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.