Python Developer - Data Processing

Infosys; Hyderabad, Pune District, Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Infosys in Hyderabad is seeking a Python developer to design and maintain data processing applications, build ETL workflows, and analyze large data sets.

You will create reusable automation scripts, optimize performance, and ensure data quality while collaborating with business and technical teams. 2–5 years of Python experience with Pandas/NumPy and SQL proficiency is preferred.

Qualifications

• 2-5 years of hands-on experience in Python development.
• Strong experience with Pandas and NumPy.
• Good knowledge of SQL and database concepts.
• Experience in data processing and ETL development.
• Strong analytical and problem-solving skills.
• Experience working with large datasets.
• Good communication and collaboration skills.

Responsibilities

• Develop and maintain data processing applications using Python.
• Design and implement data transformation and ETL workflows.
• Process, clean, and analyze large datasets.
• Develop reusable scripts and automation solutions.
• Optimize data processing performance and reliability.
• Work closely with business and technical stakeholders.
• Ensure data quality and consistency across systems.
• Troubleshoot and resolve production issues.

Skills

Python development

ETL development

Data analysis

Analytical thinking

Communication

Tools

Pandas

NumPy

SQL

Job description

Role & Responsibilities:

• Develop and maintain data processing applications using Python.
• Design and implement data transformation and ETL workflows.
• Process, clean, and analyze large datasets.
• Develop reusable scripts and automation solutions.
• Optimize data processing performance and reliability.
• Work closely with business and technical stakeholders.
• Ensure data quality and consistency across systems.
• Troubleshoot and resolve production issues.

Preferred Candidate Profile:

• 2-5 years of hands-on experience in Python development.
• Strong experience with Pandas and NumPy.
• Good knowledge of SQL and database concepts.
• Experience in data processing and ETL development.
• Strong analytical and problem-solving skills.
• Experience working with large datasets.
• Good communication and collaboration skills.