דרושים Database Consultant Aws Professional Services ב-אמזון ב-סינגפור

Key job responsibilities
• Lead documentation improvement initiatives across multiple operational processes
• Collaborate with cross-functional teams to update and maintain knowledge management systems
• Support business intelligence and data analytics projects
• Assist with system configurations and operational support
• Manage and track issue resolution across various platforms
• Partner with logistics service providers on operational improvements
A day in the lifeDiverse 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

- • Currently enrolled in a Bachelor's or Master's degree program in Supply Chain Management, Logistics, Business Analytics, Engineering, or related field
- • Strong analytical and problem-solving skills
- • Excellent written and verbal communication abilities in English
- • Experience with data analysis and process documentation
- • Proficiency in Microsoft Office suite

- • Previous internship experience in program management, supply chain operations, and/or technical documentation
- • Familiarity with wiki platforms and documentation systems
- • Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- • Experience in global transportation and/or logistics operations
- • Strong organizational skills with ability to manage multiple priorities

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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.

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of technical specialist, design and architecture experience
- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark, Python, and/or Scala to implement data lake architectures
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience

- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
- 5+ years Technical experience preferred, knowledge of Data Technology stack of AWS
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Knowledge of AI/ML concepts and practical applications
- Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- - Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

Key job responsibilities- Lead cross-functional initiatives to expand markets/accounts, develop scalable programs to drive adoption, and identify new opportunities within the SAP domain.
- Set and achieve long-term growth goals for ASEAN, meeting or exceeding revenue and non-revenue driven KPIs.
- Build and maintain strong relationships with key SAP executives and partners in the region.- Analyze market trends and competitive landscape to inform strategic decisions.A day in the life
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 of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences

- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- 5+ experience in selling SAP solutions in ASEAN at SAP or in a SAP Partner, with strong network of existing relationships with SAP teams across ASEAN.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
- Failure Analysis - Conduct a range of Testing, Repair, Sanitization and Disassembly across a variety of Data Center IT Server and Networking Equipment & Components.
- Warehouse Management System - Shipping & Receiving parts, maintain inventory accuracy, carry out audits, and disposition parts as prescribed by Inventory/Warehouse Management System.
- Unload, Pick & Pack orders/parts for shipment across local and international sites.
- Manual Handling - Frequent lifting of materials and products.
- Inventory Management – maintain precise records of all commodities – inbound and outbound.
- 5S - Maintaining the cleanliness, organization, and Safety of all workspaces.About the team
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

- 2+ years of computer hardware troubleshooting and repair experience
- 1+ years of computer networking experience
- High school or equivalent diploma

You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.Key job responsibilities
- Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
- Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
- Analyze and extract insights from large amounts of data
- Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
- Use modeling tools to bootstrap or test new AI functionalities

- Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
- 2+ years experience in computational linguistics or language data processing or AI data creation
- Experience with language data annotation systems and other forms of data markup
- Proficient with scripting languages, such as Python
- Experience working with speech, text, and multimodal data in multiple languages
- Excellent communication, strong organizational skills and very detailed oriented
- Comfortable working in a fast paced, highly collaborative, dynamic work environment

- PhD in Computational Linguistics (or equivalent field with computational emphasis)
- Expertise in bootstrapping AI data collections for quickly evolving requirements
- Extensive experience working with speech, text, and multimodal data in multiple languages
- Experience in data creation for complex agentic workflows
- Practical experience with Machine Learning
- Familiarity with technical concepts such as APIs
- Practical knowledge of version control and agile development
- Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
- Willingness to support several projects at one time, and to accept reprioritization as necessary
- Able to think creatively and possess strong analytical and problem solving skills

THIS ROLE IS OPEN TO STUDENTS GRADUATING IN 2027 SEEKING AN INTERNSHIP WITH A START DATE FROM JANUARY - JULY 2026. IF THIS MATCHES YOUR EXPECTED GRADUATION DATE AND AVAILABILITY, PLEASE CONTINUE READING.Note: You must have the right to work in the country of employment by the start date.Key job responsibilities
You will test your analytical and technical skills. This internship is a learning opportunity, where you will put your skills and bias for action to the test, to complete a project that will support your own growth in the Business Analysis function, as well as the team and our customers success.
• Partner with multiple teams across different geographies, building collaborative relationships while learning from experienced professionals in a global business environment.
• Take ownership of data analysis projects with guidance from mentors, turning data insights into actionable business recommendations.
• Identify and propose process improvement opportunities, working with the team to develop streamlined solutions that enhance business efficiency.
• Lead root cause analyses for assigned projects, collaborating with team members to solve real business challenges and implement solutions.
• Support the development of business cases for new programs, gaining hands-on experience in strategic planning and project development.
• Own the maintenance and improvement of specific performance metrics dashboards, while learning advanced visualization techniques from experienced analysts.
• Develop into a valued team member by bringing fresh perspectives and innovative ideas, while building foundation skills in business analysis.
As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests.
Learning Sessions:Internship Start Dates across the year:

Key job responsibilities
- Lead cloud operations transformations, including the design of cloud operating models, organizational change management strategies, FinOps implementations, and cloud governance frameworks
- Facilitate workshops and executive-level discussions to align stakeholders on cloud strategy and transformation roadmaps- Conduct assessments and audits of existing cloud operating models to identify areas for improvement.
- Monitor and evaluate the effectiveness and maturity of cloud operating model transformations, adjusting as needed to ensure success.- Spearhead data and AI transformations, with a focus on AI and Generative AI advisory for delivery, user adoption, operations transformation, and AI governance.
- Mentor junior consultants and contribute to development of advisory offerings and methodologiesA 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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Management consulting or industry experience in areas such as IT strategy & operations, digital transformation, innovation, and organizational change
- Deep understanding of cloud technologies and their business impact across industries and ability to quickly understand complex business and technical environments
- Strong business acumen and ability to articulate cloud value propositions to C-level executives

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Operating model, governance framework, design and implementation experience