Senior Data Engineer

Capgemini•New York, NY

60d•$100,000 - $118,000•Onsite

About The Position

Capgemini is seeking an experienced Data Engineer to support a strategic Financial Services engagement. This role will be responsible for developing scalable data solutions, building and maintaining data pipelines, optimizing data processing workflows, and supporting enterprise reporting and analytics initiatives. The ideal candidate will have strong hands-on experience in SQL, ETL/ELT development, data modeling, and cloud-based data platforms, with a proven track record of delivering scalable and reliable data solutions.

Requirements

6-10 years of Data Engineering experience
Strong SQL development and query optimization skills
Experience developing and supporting ETL/ELT solutions
Experience building and maintaining enterprise data pipelines
Strong data modeling and data management experience
Experience with AWS data platforms, including Aurora PostgreSQL and Amazon Redshift
Experience with PostgreSQL and Oracle databases
Experience supporting enterprise data warehouse environments
Strong analytical, troubleshooting, and problem-solving skills
Excellent communication and collaboration skills
Ability to work independently and within cross-functional teams
Strong attention to detail and focus on data quality
Experience delivering reliable, scalable, and high-performance data solutions
Ability to translate business requirements into technical data solutions

Nice To Haves

Experience within Financial Services environments
Experience supporting BI and reporting solutions
Tableau experience
Data governance and data quality experience
Exposure to cloud-based analytics platforms and modern data architectures

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines
Build and optimize data integration solutions across multiple source systems
Develop complex SQL queries, stored procedures, and transformation logic
Create and maintain logical and physical data models
Perform data mapping, validation, reconciliation, and quality assurance activities
Support cloud-based data warehouse and analytics platforms
Work with AWS Aurora PostgreSQL, Amazon Redshift, PostgreSQL, and Oracle databases
Troubleshoot and resolve data quality, performance, and integration issues
Document data flows, mappings, transformation rules, and technical specifications
Partner with business and technical stakeholders to translate requirements into scalable data solutions
Support reporting, analytics, and business intelligence initiatives

Benefits

Comprehensive medical, dental, vision, life insurance, and retirement benefits
Paid time off and holidays
Career development opportunities within a global technology and consulting organization

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