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Amazon Associate Data Analytics Consultant A2C 
United Kingdom, England, London 
442562571

20.11.2024
DESCRIPTION

You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C) practice, which focuses on the accelerated career development of university graduates and early career professionals.
Key job responsibilitiesYou will also have the opportunity to create white papers, write blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists, and Service Engineering teams.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

BASIC QUALIFICATIONS

- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience), with 2+ years of experience in data platform implementation and software development using languages like Java, JavaScript, or Python.- Hands-on experience building data or machine learning pipelines, and familiarity with machine learning concepts.- Strong technical communication skills, both written and verbal, with the ability to clearly convey complex technical information to diverse audiences.


PREFERRED QUALIFICATIONS

- Advanced degree (Masters or PhD) in Computer Science, Physics, Engineering, or Mathematics.- Hands-on experience with large-scale data science/analytics projects and machine learning infrastructure.- Proficiency in cloud technologies, particularly AWS services like Kinesis, and big data tools such as Hadoop, Spark, and Kafka.- Experience developing scalable, high-performance cloud software services.- AWS Certification(s), such as Solutions Architect Associate and/or Data Analytics Specialty.