Data Engineer: ETL & Spark Pipelines (Python/AWS)

Infosys Limited; Charlotte, Northern (NC, KY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Disability insurance

Health and dependent care accounts

Insurance (various)

Job summary

Infosys DNA is seeking a Technology Consultant 2 to contribute to requirements elicitation, design discussions, and coding across the SDLC. You will participate in testing, reviews, and production issue resolution while documenting technical decisions and maintaining code artifacts.

You will work with Python, Spark, and AWS on data/analytics projects and may relocate or travel for assignments as needed.

Qualifications

• Bachelor’s degree or foreign equivalent required.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without sponsorship are welcome; Infosys cannot sponsor 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.
• Participate in coding and integrate new features into existing applications.
• 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 records of code, testing techniques, and support activities.

Skills

Python

Spark

AWS

Education

Bachelor’s degree or foreign equivalent

Three years of progressive experience in lieu of education

Job description

Infosys DNA is seeking a Technology Consultant 2 to contribute to requirements elicitation, design discussions, and coding across the SDLC. You will participate in testing, reviews, and production issue resolution while documenting technical decisions and maintaining code artifacts.

You will work with Python, Spark, and AWS on data/analytics projects and may relocate or travel for assignments as needed.