Senior PySpark Engineer — Data & AI Analytics

Infosys

Tampa (FL)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Disability coverage
Health reimbursement accounts
Insurance (various)

Job summary

Infosys Data and Analytics (DNA) invites a Technology Consultant 2 to contribute to requirements elicitation, guide design decisions, and implement new features across our data platforms. You will engage in coding, review code, and help maintain high-quality software with a focus on stability and scalability.

Ideal candidates participate in test planning, develop user documentation, and assist in production issue resolution while aligning with SDLC best practices and cross‑functional

Qualifications

  • Bachelor’s degree or foreign equivalent required.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work in the US without visa sponsorship are welcome to apply.

Responsibilities

  • Contribute to requirements elicitation by documenting assigned parts of business requirements.
  • Facilitate software architecture 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 materials and support frameworks for new apps.
  • Resolve production issues and suggest preventive actions.

Education

Bachelor’s degree or foreign equivalent

Tools

Git

Job description

Infosys Data and Analytics (DNA) invites a Technology Consultant 2 to contribute to requirements elicitation, guide design decisions, and implement new features across our data platforms. You will engage in coding, review code, and help maintain high-quality software with a focus on stability and scalability.

Ideal candidates participate in test planning, develop user documentation, and assist in production issue resolution while aligning with SDLC best practices and cross‑functional

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