Senior Data Engineer: Python & AWS for AI-Driven Analytics

Infosys Limited

West Palm Beach, Northern (FL, KY)

Hybrid

USD 90,000 - 120,000

Full time

9 hours ago
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Benefits offered by this job

Health insurance
401(k) retirement plan
Paid time off
Wellness programs

Job summary

Infosys Limited is seeking a Technology Consultant 2 to contribute to requirements elicitation, design discussions, coding, and production support within our DNA analytics unit in the United States. The role emphasizes delivering scalable software solutions, maintaining quality, and collaborative problem solving across teams.

The ideal candidate will leverage AWS, Python, and SQL to build data-driven applications, with exposure to Pyspark and a willingness to relocate or travel as needed. U.S.

Qualifications

  • Bachelor’s degree or foreign equivalent required from an accredited institution.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Responsibilities

  • Contribute to the requirements elicitation process by documenting assigned parts of business requirements.
  • Facilitate software application design discussions, and document design decisions for the technical team.
  • Participate in coding and integrate new features or updates into existing applications, maintaining system stability.

Skills

AWS
Python
SQL
Pyspark

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys Limited is seeking a Technology Consultant 2 to contribute to requirements elicitation, design discussions, coding, and production support within our DNA analytics unit in the United States. The role emphasizes delivering scalable software solutions, maintaining quality, and collaborative problem solving across teams.

The ideal candidate will leverage AWS, Python, and SQL to build data-driven applications, with exposure to Pyspark and a willingness to relocate or travel as needed. U.S.

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