Are you passionate about building large-scale data solutions that impact hundreds of thousands of lives? Do you want to work with cutting-edge AI technology while helping Amazon employees advance their careers?
Career Choice, Amazon's innovative education benefit program, is seeking a talented Data Engineer to join our engineering team. We're building an AI-powered platform that revolutionizes how employees discover and pursue educational opportunities
As a Data Engineer, you will design and implement scalable data pipelines that power our AI-driven career guidance solutions. You'll work with diverse data sources, including external and Amazon internal , while ensuring data quality, security, and compliance. These integrations will enable us to provide real-time labor market insights and future-looking career guidance to our employees.
About Career Choice AI Platform
Our AI-powered Career Choice platform is transforming how Amazon employees explore and pursue their career aspirations:
• Smart Career Pathways: Leveraging advanced AI and ML models to provide tailored career recommendations based on individual skills, interests, and market trends.
• Adaptive Learning Systems: Utilizing sophisticated data processing to identify skill gaps and suggest relevant educational programs.
• Real-time Labor Market Analytics: Integrating and analyzing diverse data sources to offer up-to-date insights on job market trends and opportunities.
• Intelligent Education Marketplace: Connecting employees with a wide range of educational partners and programs, all powered by our robust data infrastructure.
• Career Trajectory Intelligence: Employing advanced algorithms to analyze career patterns, identify optimal learning paths, and suggest strategic skill development opportunities based on real-world success patterns.
Join us in building this revolutionary platform that's setting new standards in career development and employee empowerment!
Key job responsibilities
- Design and maintain scalable data pipelines integrating multiple external and internal data sources
- Architect data lakes and warehouses supporting AI/ML models and analytics
- Develop ETL processes ensuring data quality and reliability
- Implement data governance frameworks and security measures
- Collaborate with AI/ML teams to optimize data delivery
- Build real-time data processing systems for immediate insights
About the team
- High-impact work affecting thousands of lives
- Zero Sev2s in the last two months
- Flexible working arrangements
- Sustainable on-call rotation
- Career development opportunities including:
- Dedicated learning time
- Conference and training budgets
- Mentorship programs
- Clear career progression paths
- Collaborative team environment with:
- Regular knowledge sharing sessions
- Cross-functional project opportunities
- Innovation days and hackathons
