Analytics-Focused Full Stack Engineer (AI/BI)
Capgemini
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Job summary
Capgemini seeks a Full Stack Engineer to contribute to our reporting modernization strategy and support existing analytical applications in Irving, TX. You will leverage Tableau, Power BI, Angular, Java REST APIs, Python, and AWS to build and maintain advanced analytics solutions for a complex financial services environment.
The role requires 5+ years of full stack experience, strong BI tooling skills, and cloud/DevOps proficiency, with opportunities to work on AI-powered data initiatives in a
Qualifications
- 5+ years of experience in full stack software development.
- Experience with Tableau for data visualization and reporting.
- Experience with Power BI for business intelligence solutions.
- Proficiency in Angular or other modern front-end web technologies.
- Experience developing Java REST APIs.
- Strong programming skills in Python.
- Hands-on experience with AWS cloud services.
- Experience with Oracle Databases and PL/SQL development.
- Knowledge of DevOps, CI/CD practices.
- Experience implementing data solutions within a Data Warehouse environment (preferred).
- Experience developing AI-powered solutions (preferred).
- Understanding of Financial Services domain concepts (preferred).
Responsibilities
- Contribute to our reporting modernization strategy and support existing analytical applications.
- Develop, enhance, and maintain innovative reporting and analytics solutions for a complex business environment.
- Leverage a variety of technologies to deliver data-driven insights.
Skills
Job description
Capgemini seeks a Full Stack Engineer to contribute to our reporting modernization strategy and support existing analytical applications in Irving, TX. You will leverage Tableau, Power BI, Angular, Java REST APIs, Python, and AWS to build and maintain advanced analytics solutions for a complex financial services environment.
The role requires 5+ years of full stack experience, strong BI tooling skills, and cloud/DevOps proficiency, with opportunities to work on AI-powered data initiatives in a
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