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# Junior Data Engineer - ETL Development

- **Company:** Capgemini
- **Location:** Bridgewater, NJ, United States
- **Experience:** Starter
- **Salary:** $56,186.0 - $87,556.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Data Validation, Extract Transform Load (ETL), Spring Framework, Python (Programming Language), SQL Databases, Data Processing, GitHub Copilot, Spring-boot, Generative AI
- **Published:** August 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3363366072&tx=IT8679TTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* ETL development and migration experience (preferably Informatica)
 * Strong Java and Spring Boot
 * python ETL

Preferred Skills

 * Java Spring batch
 * Experience analyzing legacy ETL workflows (preferably Informatica)
 * Financial Services industry experience.
 * Experience working with large-scale enterprise data platform

## Description

* We are seeking a Data Engineer with experience in ETL development, data processing, and workflow modernization.
 * The ideal candidate will work on analyzing existing Informatica workflows and supporting their migration to modern Python-based ETL solutions while contributing to enterprise data initiatives., * Analyze existing Informatica workflows, mappings, and data transformations to support modernization efforts.
 * Develop and maintain ETL pipelines using Python and SQL.
 * Build and enhance batch-processing solutions using Java Spring Batch.
 * Support migration of legacy data workflows to modern cloud-based architectures.
 * Perform data analysis, data validation, and reconciliation activities to ensure data quality.
 * Utilize AI-assisted development tools such as GitHub Copilot and Generative AI solutions to improve delivery efficiency.
 * Collaborate with business, data, and engineering teams to translate requirements into scalable solutions.
 * Participate in testing, deployment, and production support activities.


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