Amazon Data Engineer AWS GCR Tech 

China, Jilin, Dehui City 

391915679

The successful candidate will work directly with field sales teams to understand their data needs and translate business requirements into scalable technical solutions. You will be responsible for building end-to-end data pipelines, implementing AI-powered analytics, and creating self-service tools that empower business users to make data-driven decisions. This role requires a balance of technical expertise and business acumen, with a strong focus on delivering measurable impact for sales operations and customer experience.Key job responsibilities
- Work with global teams to enable reliable data for GCR business operations while following strict security compliance requirements, and build data foundation for GCR users to self-service for their use cases
- Build and enhance data platforms to support end users to easily and securely access data and insights by leveraging AI, AWS services, and open source services
- Collaborate with product managers and SDE team members to design and implement data products that meet business requirements and deliver measurable value
- Implement robust data quality monitoring, validation frameworks, and governance practices while optimizing compute solutions for performance and cost efficiencyDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of data engineering experience
- Bachelor's degree
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets