Junior Data Engineer: ETL Modernization with Python

Capgemini; Bridgewater (MA); Hybrid; USD 56,000 - 88,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid time off

Parental leave

Job summary

Capgemini is seeking a Data Engineer with experience in ETL development, data processing, and workflow modernization. The role focuses on analyzing Informatica workflows and migrating to Python-based ETL solutions while supporting enterprise data initiatives.

You will develop ETL pipelines, build batch-processing solutions with Java Spring Batch, and assist in migrating legacy workflows to cloud-based architectures. Collaboration with cross-functional teams is key to success.

Qualifications

• ETL development and migration experience (preferably Informatica).
• Strong Java and Spring Boot; Python-based ETL.
• Experience with data processing and workflow modernization.
• Familiarity with AI-assisted development tools like GitHub Copilot.
• Experience analyzing legacy ETL workflows and migrating to modern architectures.
• Financial services industry experience is a plus.

Responsibilities

• 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 to ensure data quality.
• Collaborate with business, data, and engineering teams to translate requirements into scalable solutions.
• Participate in testing, deployment, and production support activities.

Skills

ETL development

Informatica migration

Python ETL

SQL

Java

Spring Boot

Spring Batch

Data analysis

GitHub Copilot

Tools

Informatica

Java

Spring Boot

Spring Batch

Python

SQL

Job description

Capgemini is seeking a Data Engineer with experience in ETL development, data processing, and workflow modernization. The role focuses on analyzing Informatica workflows and migrating to Python-based ETL solutions while supporting enterprise data initiatives.

You will develop ETL pipelines, build batch-processing solutions with Java Spring Batch, and assist in migrating legacy workflows to cloud-based architectures. Collaboration with cross-functional teams is key to success.