AI-Driven Data Engineering Intern: Build Real-World Solutions

Genpact LLC; Phoenix (AZ); Hybrid; USD 45,000 - 57,000; Full time

Job summary

Genpact LLC invites applications for an Analyst - Data Engineering role. The position emphasizes leading development and delivery of data-centric projects, partnering with engineering and analytics teams, and presenting findings to stakeholders.

The role involves building data pipelines, AI/ML prototypes, and automation solutions in a fast-moving, innovation-driven environment. Ideal candidates have strong academic credentials in analytics, CS, statistics, or data science, plus relevant data

Qualifications

• Bachelor’s degrees in analytics, CS, or statistics and a Master’s in data science or related field.
• Industry-recognized data management and cloud data engineering certifications are preferred.
• Roles require understanding of data pipelines, AI/ML prototyping, and analytics.

Responsibilities

• Lead development and execution of DTAI initiatives and data engineering deliverables.
• Deliver data-driven insights, automation solutions, and system enhancements.
• Manage data projects with defined milestones and collaborate with engineering and analytics teams.
• Own documentation, code repositories, dashboards, and technical presentations.
• Support development of data pipelines, AI/ML prototypes, and digital solutions.
• Present technical findings to business and tech stakeholders.

Skills

Data Engineering

Education

Bachelor's—Business Analytics

Bachelor's—Computer Science

Bachelor's—Statistics

Masters—Data Science

Tools

Certified Data Management Professional

Cloudera CCP Data Scientist

Databricks Spark 3.0

Microsoft Azure Data Engineer

Oracle 12c Certified

Job description

Genpact LLC invites applications for an Analyst - Data Engineering role. The position emphasizes leading development and delivery of data-centric projects, partnering with engineering and analytics teams, and presenting findings to stakeholders.

The role involves building data pipelines, AI/ML prototypes, and automation solutions in a fast-moving, innovation-driven environment. Ideal candidates have strong academic credentials in analytics, CS, statistics, or data science, plus relevant data