Senior AWS Data Engineer

CGI•Plano, TX

15h•Hybrid

About The Position

CGI is seeking a Senior AWS Data Engineer to support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment. This role will focus on building and improving cloud-based data pipelines and analytics solutions using AWS technologies, with particular emphasis on Amazon Redshift, AWS Glue, Python, and SQL. The successful candidate will work with complex business and technical requirements, develop reliable data processing solutions, and contribute to automation and CI/CD practices. As a senior level resource, this individual should be comfortable working independently, troubleshooting complex data issues, collaborating with cross functional teams, and helping drive solutions from requirements through implementation and production support. Exposure to Generative AI and opportunities to apply AI driven automation within data engineering workflows is also valuable.

Requirements

5+ years of hands-on experience with AWS based data engineering
Experience with Amazon Redshift, including data processing and performance optimization
Hands-on experience developing ETL/data pipelines using AWS Glue
Strong Python development skills for data processing and automation
Advanced SQL skills, including complex queries and large data sets
Experience with CI/CD pipelines and automated deployment practices
Experience developing and maintaining enterprise scale data and analytics applications
Understanding of data quality, troubleshooting, performance, and production support
Exposure to Generative AI (GenAI) and AI enabled automation use cases
Ability to work through complex requirements with limited oversight
Strong communication and collaboration skills
Bachelor's degree in computer science, Information Technology, Engineering, Data Science, or a related technical field.

Nice To Haves

Financial services, enterprise risk, or risk analytics experience is preferred

Responsibilities

Support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment.
Build and improve cloud-based data pipelines and analytics solutions using AWS technologies, with particular emphasis on Amazon Redshift, AWS Glue, Python, and SQL.
Work with complex business and technical requirements.
Develop reliable data processing solutions.
Contribute to automation and CI/CD practices.
Work independently, troubleshoot complex data issues, collaborate with cross-functional teams, and help drive solutions from requirements through implementation and production support.
Apply AI driven automation within data engineering workflows.