דרושים Data Scientist Professional Services ב-אמזון ב-China, Shanghai

As a member of the AWS Professional Services Security, Risk, and Compliance Practice, you'll pioneer technically excellent security solutions supporting customer initiatives that are meaningful to their business. You'll collaborate with AWS service teams on new features, innovate with new technologies, and explore new challenges while working closely with customers to design, implement, and manage secure AWS solutions that meet their technical requirements, compliance needs, and business objectives.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs with a focus on security and compliance requirements
- Providing technical guidance on best practices and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather security requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsA day in the life
About the team
Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.

- BA/BS degree or equivalent experience
- 5 years' experience in IT security, compliance, or risk management.
- Familiarity with common attack patterns, exploitation and remediation techniques, with strong hands-on experience with mainline programming languages such as TypeScript, Python, or Go
- Result oriented, high energy, self-motivated with excellent communication, work prioritization and analytical skills
- Ability to travel to client locations to deliver professional services as needed

- AWS Professional level certifications preferred (Solutions Architect Professional, Machine Learning Engineer Associate)
- Industry-recognized security credentials including CISSP, CISA, CREST, and privacy certifications (CIPP, CIPT, CIPM)
- Demonstrated hands-on expertise in architecting, building, and deploying enterprise-grade security solutions and infrastructure
- Extensive implementation experience with advanced security technologies including SSO, Federation, WAF, IPS, Anti-DDoS, and SIEM
- Proven experience implementing security controls to meet industry compliance requirements such as PCI DSS, ISO 27001/27701, GDPR, and NIST Frameworks

• Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics area, especially in data warehouse and data lake technologies.• Solutions - Deliver one to many sessions to enable the internal/external teams, support key analytic engagement in GCR, develop reusable technical solutions/contents from AWS services, and harvest valuable assets as landing zones, and cooperate with global team to drive more customer obsession services on AWS.• Entablements - Engagements include short on-site projects proving the use of AWS services to support analytic solutions that often span across different services. Engagements may include migration of existing applications and development of new applications using AWS cloud services.• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community
Key job responsibilities
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
- Experience in deploying and maintaining big data projects.

Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.Key job responsibilities
· Scope each customer engagement, with attention towards clear and well-defined objectives and success criteria.· Own each technical engagement, and help ensure a timely and successful delivery of value. (delivery of actual solutions to be done by AWS partners)· Capture and share best-practice knowledge amongst the solution architect community.· Understand the AWS market segments, customer base, and industry verticals.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Key job responsibilities
Amazon Web Services (AWS) is looking for an experienced Data and AI Specialist Solutions Architect, who will be the Expert for designing architectures that leverage AWS Data services including DocumentDB, Neptune, OpenSearch and other open-source data products. You will partner closely with the Data Services team, Business Development, and Sales to enable large-scale customer use cases and drive the adoption and revenue of AWS. You will work with the largest companies in the world to design flexible and cost-effective cloud-based Data and AI solutions. You will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage AWS Data and AI services. You will also help account SAs to understand how to integrate AWS Data and AI services into customer architectures.
The ideal candidate will have rich experience in Data and AI projects. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.
A day in the life
· ¬Be the recognized authority for Data subject matter expertise across AWS.· Provide definitive guidance for customers in choosing the right Data services and approaches in different AI scenarios.
Diverse 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 design and implementation experience with Database and Analytics projects.
- 2+ years design and implementation experience with AI projects.
- Technical degrees in computer science, software engineering; .
- Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.