Starburst Data Engineer - AI Analytics & Pipelines

Infosys; Charlotte (TX); On-site; USD 90,000 - 135,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k)

Paid holidays + PTO

Job summary

Infosys in the United States is seeking a Technology Consultant 2 to drive data engineering and analytics initiatives for Financial Services. You will design data pipelines, optimize queries, and build dashboards using Tableau or MicroStrategy while collaborating with data scientists and stakeholders across banking, wealth management, and insurance sectors.

The role emphasizes coding, testing, and documentation, with a focus on reliability and scalable analytics solutions.

Qualifications

• Bachelor’s degree or foreign equivalent in a related field or three years of progressive experience.
• Experience documenting requirements and facilitating design discussions.
• Ability to translate complex requirements into development tasks.

Responsibilities

• Contribute to requirements elicitation and document business requirements.
• Participate in design discussions and guide technical implementation.
• Write and review code, and maintain repositories.
• Implement test strategies and coordinate bug fixes.
• Develop user training and support documentation.
• Ensure production issues are resolved and reliability is improved.
• Maintain detailed records of code, tests, and support activities.

Skills

SQL

Python

Data pipelines

Starburst

BI dashboards

Cross-functional collaboration

SDLC understanding

Education

Bachelor’s degree

Tools

Tableau

MicroStrategy

Cloudera Hadoop

Spark

AWS/Azure/GCP

Job description

Infosys in the United States is seeking a Technology Consultant 2 to drive data engineering and analytics initiatives for Financial Services. You will design data pipelines, optimize queries, and build dashboards using Tableau or MicroStrategy while collaborating with data scientists and stakeholders across banking, wealth management, and insurance sectors.

The role emphasizes coding, testing, and documentation, with a focus on reliability and scalable analytics solutions.