Senior Data Engineer: Modernization ETL & AI Pipelines

Capgemini; Bridgewater (MA); On-site; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare coverage

401(k)

Paid time off

Job summary

Capgemini is seeking a Senior Data Engineer to drive data modernization initiatives in the United States. You will assess legacy Informatica workflows and lead the development of scalable Python-based ETL solutions, while collaborating with cross-functional teams to ensure successful delivery.

You will design and migrate data pipelines, optimize batch processing with Java Spring Batch, and leverage AI-assisted tooling to accelerate analysis and modernization programs.

Qualifications

• 6-9 years of Data Engineering experience.
• Strong expertise in Informatica, Python ETL and SQL.
• Hands-on experience with Java Spring Batch.
• Experience with AWS based data solutions.
• Familiarity with AI-assisted development and automation tools.

Responsibilities

• Analyze Informatica workflows and data processing frameworks.
• Design and develop scalable ETL pipelines using Python and SQL.
• Lead migrations from legacy ETL to Python-based solutions.
• Develop batch processing using Java Spring Batch.
• Collaborate with architects and business teams to ensure delivery.
• Mentor junior engineers and promote best practices.

Skills

Informatica

Python ETL

SQL

Java Spring Batch

AWS data solutions

Data integration

Workflow orchestration

Generative AI

Copilot capabilities

Tools

Copilot

Generative AI

Job description

Capgemini is seeking a Senior Data Engineer to drive data modernization initiatives in the United States. You will assess legacy Informatica workflows and lead the development of scalable Python-based ETL solutions, while collaborating with cross-functional teams to ensure successful delivery.

You will design and migrate data pipelines, optimize batch processing with Java Spring Batch, and leverage AI-assisted tooling to accelerate analysis and modernization programs.