Data Engineer — AI & Analytics Platform

Infosys Limited; Missouri; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse.

Insurance (Accident, Critical Illness,

Hospital Indemnity, Legal)

401(k) plan

Job summary

Infosys is seeking a Technology Consultant 2 in the Data and Analytics (DNA) unit to help turn business needs into technical solutions. You will engage in requirements elicitation, participate in design discussions, code and test features, review code, and support production systems across the SDLC.

Collaborating with cross-functional teams, you will develop training materials and documentation, ensure system reliability, and maintain comprehensive records.

Qualifications

• Experience supporting production environments and resolving data-related issues.
• Knowledge of Agile, Scrum, and SDLC methodologies.
• Relocation and/or travel to work/project location may be required.
• Candidates authorized to work in the United States without visa sponsorship are welcome to apply.

Responsibilities

• Document assigned parts of business requirements and facilitate design discussions.
• Participate in coding and integrate new features while maintaining stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results and coordinate bug fixes.
• Develop user training programs, documentation, and support frameworks.
• Resolve production issues and recommend preventive strategies to improve reliability.
• Maintain detailed records of code, testing techniques, and support activities.

Skills

Agile

Scrum

SDLC

Production support

Data issues

Documentation

Testing

Cross-functional teamwork

Education

Bachelor’s degree

Job description

Infosys is seeking a Technology Consultant 2 in the Data and Analytics (DNA) unit to help turn business needs into technical solutions. You will engage in requirements elicitation, participate in design discussions, code and test features, review code, and support production systems across the SDLC.

Collaborating with cross-functional teams, you will develop training materials and documentation, ensure system reliability, and maintain comprehensive records.