Hybrid Data Engineering Analyst for AI & Automation

Genpact LLC

Atlanta (GA)

Hybrid

USD 45,000 - 57,000

Full time

14 days+
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Job summary

Genpact LLC is seeking an Analyst - Data Engineering to lead migration of enterprise integrations to MuleSoft or AWS Glue and to develop AI-powered solutions for automated testing and validation. You will build monitoring for APIs and data pipelines, and collaborate with architects, developers, and QA teams to improve delivery efficiency.

The role also involves creating dashboards and observability solutions, and documenting designs and implementation approaches to ensure scalable, reliable data

Qualifications

  • Bachelor’s or Master’s degree in a relevant field (Business Analytics, CS, Data Science).
  • Experience with data engineering, APIs, and data pipelines is preferred.
  • Certifications in data management or cloud data platforms are a plus.

Responsibilities

  • Support migration of enterprise integrations to MuleSoft or AWS Glue.
  • Develop and evaluate AI-based solutions to automate tests and validation.
  • Build monitoring and anomaly detection for APIs and data pipelines.
  • Create dashboards, alerts, and observability for issue detection.
  • Collaborate with architects, developers, and QA to improve delivery efficiency.
  • Document technical designs, proofs-of-concept, and implementation approaches.

Skills

Agile Methodology
English proficiency
Collaboration Tools
Digital Business Strategy

Education

Bachelors - Business Analytics
Bachelors - Computer Science
Masters - Data Science

Tools

Databricks
Databricks Academy
Azure Data Engineer
MuleSoft
AWS Glue

Job description

Genpact LLC is seeking an Analyst - Data Engineering to lead migration of enterprise integrations to MuleSoft or AWS Glue and to develop AI-powered solutions for automated testing and validation. You will build monitoring for APIs and data pipelines, and collaborate with architects, developers, and QA teams to improve delivery efficiency.

The role also involves creating dashboards and observability solutions, and documenting designs and implementation approaches to ensure scalable, reliable data

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