ETL Testing Consultant: Python Automation & Data QA

Infosys; Mount Laurel Township (NJ); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Job summary

Infosys is seeking a Technology Consultant 2 to contribute across the SDLC, focusing on Python automation, data warehousing, SQL, and ETL testing within our Financial Services unit. You will design, code, review, and test features, while coordinating with cross-functional teams and maintaining robust documentation.

You will work on automation frameworks, cloud-based solutions (AWS/Azure/GCP), and AI-assisted tooling, with opportunities to explore banking domain applications and production issue

Qualifications

• Bachelor’s degree or foreign equivalent required.
• Relocation/travel may be required.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Document assigned parts of business requirements and guide technical teams.
• Facilitate design discussions and record design decisions.
• Participate in coding and integrate features with focus on stability.
• Conduct code reviews and maintain repositories.
• Implement test strategies and coordinate bug fixes.
• Develop training materials, documentation, and support frameworks.
• Resolve production issues and propose preventive strategies.
• Maintain records of code and testing techniques.

Skills

Python Automation

Data Warehouse

SQL

ETL testing

Selenium-Python

ETL automation

Cloud platforms

Education

Bachelor’s degree or equivalent

Tools

Selenium - Java

Playwright - Javascript

Data Validation tools

Co-pilot / AI experience

Job description

Infosys is seeking a Technology Consultant 2 to contribute across the SDLC, focusing on Python automation, data warehousing, SQL, and ETL testing within our Financial Services unit. You will design, code, review, and test features, while coordinating with cross-functional teams and maintaining robust documentation.

You will work on automation frameworks, cloud-based solutions (AWS/Azure/GCP), and AI-assisted tooling, with opportunities to explore banking domain applications and production issue