AI-Driven Data Engineering Intern (Hybrid)

BrightClaim; Atlanta (GA); Hybrid; USD 45,000 - 57,000; Full time

Job summary

Genpact, a leading AI-driven technology solutions company, seeks an Analyst - Data Engineering for a hybrid internship in the United States. You will support migrations to MuleSoft or AWS Glue, build AI-based testing automation, and develop monitoring for data pipelines and APIs.

In collaboration with architects, developers, and QA, you will help identify automation opportunities and document designs while gaining hands-on experience in data engineering and modern integration platforms.

Qualifications

• Bachelor's degree in Business Analytics, Computer Science or Statistics; Master's in Data Science preferred.
• Multiple degrees listed as required or preferred for analytics and data work.

Responsibilities

• Support the migration of enterprise integrations from CDK middleware to MuleSoft or AWS Glue.
• Develop and evaluate AI-based solutions to automate integration testing, test case generation, and regression validation.
• Build intelligent monitoring and anomaly detection for APIs, data pipelines, and integration workflows.
• Assist in creating dashboards, alerts, and observability solutions for proactive issue detection.
• Collaborate with architects, developers, and QA teams to identify automation opportunities and improve delivery.
• Document technical designs, proofs-of-concept, and implementation approaches.

Skills

Data Engineering

Agile Methodology

Collaboration Tools

Education

Bachelor's degree in Business Analytics

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Master's degree in Data Science

Tools

MuleSoft

AWS Glue

Dashboards

Job description

Genpact, a leading AI-driven technology solutions company, seeks an Analyst - Data Engineering for a hybrid internship in the United States. You will support migrations to MuleSoft or AWS Glue, build AI-based testing automation, and develop monitoring for data pipelines and APIs.

In collaboration with architects, developers, and QA, you will help identify automation opportunities and document designs while gaining hands-on experience in data engineering and modern integration platforms.