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# Lead Data Engineer

- **Company:** Capgemini
- **Location:** Bridgewater, NJ, United States
- **Experience:** Expert
- **Salary:** $103,330.0 - $128,656.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Batch Processing, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, Spring Framework, Python (Programming Language), SQL Databases, Data Processing, GitHub Copilot, Generative AI
- **Published:** August 26, 2026
- **Apply:** https://dejobs.org/x/x/DB0DDD161B154EA788D35712F9EF420E/job/

## About the Role

* 10+ years of experience in Data Engineering and data modernization.
 * Deep expertise in Informatica, Python ETL, and SQL.
 * Strong experience with Java Spring Batch and enterprise batch processing.
 * Expertise in AWS cloud technologies and modern data architectures.
 * Experience leading large-scale ETL migration and transformation programs.
 * Strong understanding of Generative AI, GitHub Copilot, and AI-assisted engineering approaches.
 * Exceptional leadership, communication, and stakeholder management skills

Preferred Skills

 * Financial Services industry experience.
 * Experience defining enterprise data modernization roadmaps and engineering standard

## Description

* We are seeking a Lead Data Engineer to provide technical leadership for enterprise data modernization initiatives.
 * The ideal candidate will define migration strategies, guide engineering teams, and drive the transformation of legacy ETL ecosystems into scalable modern data platforms., * Lead end-to-end modernization and migration of enterprise data workflows.
 * Define technical architecture and migration strategies for Informatica-to-Python ETL transformations.
 * Drive the design and implementation of scalable data processing solutions using Python, SQL, and Java Spring Batch.
 * Evaluate and implement AI-powered accelerators, Generative AI capabilities, and Copilot-based productivity improvements.
 * Provide technical leadership across data engineering, integration, and modernization workstreams.
 * Conduct architecture reviews, solution assessments, and optimization initiatives.
 * Collaborate with business stakeholders, architects, and technology leadership to align solutions with business objectives.
 * Mentor engineering teams and establish development standards and best practices.


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