Cloud Data Engineer: AWS & Python

Infosys; Richardson (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Disability Insurance

Health Care Reimbursement Accounts

401(k) plan

Job summary

Infosys is hiring for a Technology Consultant 2 in the United States. The role focuses on documenting requirements, designing and coding features, and ensuring software quality across the SDLC.

You will work in data and analytics, leveraging Python, Informatica, ETL, AWS, and Glue to deliver scalable solutions. The position emphasizes collaboration with cross-functional teams, knowledge sharing, and ongoing learning.

Qualifications

• Bachelor’s degree or foreign equivalent required; progressive experience accepted in lieu of education.
• Must have hands-on experience with Python, Informatica, ETL, AWS and Glue.
• Candidates authorized to work in the United States without employer sponsorship are welcome to apply; Infosys cannot sponsor visas now or in the future.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements.
• Facilitate software design discussions and document design decisions for the technical team.
• Participate in coding and integrate new features, maintaining system stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results and coordinate bug fixes.
• Develop user training materials, documentation, and support frameworks.
• Resolve production issues and recommend preventive strategies to enhance reliability.
• Maintain detailed records of code, testing techniques, and support activities.

Skills

Python

Informatica

ETL

AWS

Glue

Education

Bachelor’s degree or foreign equivalent

Tools

SQL

ServiceNow

Job description

Infosys is hiring for a Technology Consultant 2 in the United States. The role focuses on documenting requirements, designing and coding features, and ensuring software quality across the SDLC.

You will work in data and analytics, leveraging Python, Informatica, ETL, AWS, and Glue to deliver scalable solutions. The position emphasizes collaboration with cross-functional teams, knowledge sharing, and ongoing learning.