Capgemini · 18 hours ago
AWS Data Engineer
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. The AWS Data Engineer will help organizations design, develop, and optimize their data infrastructure and systems, focusing on data processes to drive business outcomes.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Snowflake to process large-scale data
ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems
Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data
Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data
Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals
Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance
Qualification
Required
6+ Years of experience in the industry
Required hands-on experience with Python and SQL (2+ years)
MUST BE US CITIZEN to work on Defense specific data
AWS Data Engineering experience
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Recent News
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