DESCRIPTION: At Amazon Web Services (AWS), we'rehiring highly technical Data Analytics consultants to collaboratewith our customers and partners on key engagements. Our consultantswill develop and deliver proof-of-concept projects, technicalworkshops, and support implementation projects. These professionalservices engagements will focus on customer solutions such as Dataand Analytics, Artificial Intelligence (AI) and GenerativeAI(GenAI), Machine Learning (ML), HPC and more. You will join as partof the AWS Professional Services (ProServe) Associate to Consultant(A2C), which focuses on the accelerate career development ofuniversity graduates and early career professionals. Our teammembers work with enterprise customers locally, regionally anddomestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there isalways the potential that a customer might choose to include travelin their contract. Key job responsibilities In this role, you willwork with our partners, customers and focus on our AWS offeringssuch as Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR,Amazon Athena, Amazon SageMaker, Amazon Bedrock, Amazon Q, and Amazon Lex. You will help our customers and partners to remove theconstraints that prevent them from leveraging their data to developbusiness insights. The ideal candidate will have extensiveexperience with design, development and operations that leveragesdeep knowledge in the use of modern data services like DynamoDB,Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker,Amazon RDS, technologies and other industry data structures andstandards. A day in the life AWS Professional Services engage in awide variety of projects for customers and partners, providingcollective experience from across the AWS customer base and areobsessed about customer success. Our team collaborates across theentire AWS organization to bring access to product and serviceteams, to get the right solution delivered and drive featureinnovation based upon customer needs. You will also have theopportunity to create white papers, writing blogs, build demos andother reusable collateral that can be used by our customers. Mostimportantly, you will work closely with our Solution Architects,Data Scientists and Service Engineering teams. About the team Inclusive Team Culture Here at AWS, we embrace our differences. Weare committed to furthering our culture of inclusion. We havethirteen employee-led affinity groups, reaching 85,000 employees inover 190 chapters globally. We have innovative benefit offerings,and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (genderdiversity) conferences. Amazon's culture of inclusion is reinforcedwithin our 16 Leadership Principles, which remind team members toseek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professionallife is crucial to your happiness and success here. We are acustomer-obsessed organization-leaders start with the customer andwork backwards. They work vigorously to earn and keep customertrust. As such, this is a customer facing role in a hybrid deliverymodel. Project engagements include remote delivery methods andonsite engagement that will include travel to customer locations asneeded. Mentorship & Career Growth Our team is dedicated tosupporting new members. We have a broad mix of experience levelsand tenures, and we're building an environment that celebratesknowledge sharing and mentorship. We care about your career growthand strive to assign projects based on what will help each teammember develop into a better-rounded professional and enable themto take on more complex tasks in the future. BASIC QUALIFICATIONS:* Bachelor's degree or higher in Computer Science, Engineering,Mathematics or a related field with a conferral date within May2023 to May 2025 * 1+ years of hands-on experience of programmingin languages such as Python, Ruby, Go, Swift, Java, . Net, C++,Node.js, or similar object-oriented language. PREFERREDQUALIFICATIONS: - 1+ years of experience of Data platformimplementation - Hands-on experience with building data or machinelearning pipeline - Experience with one or more relevant tools(SQL, PostgreSQL, Data lake, DynamoDB, Hadoop) - Current experiencewith hands-on implementation and performance tuning of Kinesis,Kafka, Spark or similar implementations - Masters or PhD in Computer Science, Physics, Engineering or Math. - Familiar with Machine learning concepts - Hands-on experience working onlarge-scale data science/data analytics projects - ExperienceImplementing AWS services in a variety of distributed computing,enterprise environments. - Experience with at least one of themodern distributed Machine Learning and Deep Learning frameworkssuch as TensorFlow, PyTorch, MxNet Caffe, and Keras. - Experiencebuilding large-scale machine-learning infrastructure that have beensuccessfully delivered to customers. - Experience defining systemarchitectures and exploring technical feasibility trade-offs. -Experiences developing cloud software services and an understandingof design for scalability, performance and reliability. - Abilityto prototype and evaluate applications and interactionmethodologies. - Experience with AWS technology stack. - AWSCertification(s) such as Solutions Architect Associate, DataAnalytics Specialty, and/or Machine Learning Specialty - Writtenand verbal technical communication skills with an ability topresent complex technical information in a clear and concise mannerto a variety of audiences. Amazon is committed to a diverse andinclusive workplace. Amazon is an equal opportunity employer anddoes not discriminate on the basis of race, national origin,gender, gender identity, sexual orientation, protected veteranstatus, disability, age, or other legally protected status. Ourinclusive culture empowers Amazonians to deliver the best resultsfor our customers. If you have a disability and need a workplaceaccommodation or adjustment during the application and hiringprocess, including support for the interview or onboarding process,please visit this link for more information. If the country/regionyou're applying in isn't listed, please contact your RecruitingPartner. #J-18808-Ljbffr