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The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, data, and enjoys the challenges of highly complex business context. This role requires an individual with a strong back-end and front-end background to maintain our web portal, deep knowledge of cloud infrastructure, optimizing data for business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and build solutions that help to answer those questions. You should be able to architect highly efficient UI solutions (front and back end), making a tradeoff between scalability, performance and user functionality needs, using expert knowledge in software development technologies
The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, UI components and enjoys the challenges of highly complex business context.
Key job responsibilities
Working with stakeholders and other engineering teams to identify and scope the right data architecture and technology to be used to facilitate analysis of most common Amazon customer behavioral questions.
Partnering with partner engineering teams to enhance UI solutions, data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization.
Design, build and implement the right solutions using AWS and similar technologies.
Enable large scale solutions using Python, React, JavaScript, Typescript and AWS services.
Establishing and implementing technology best practices that should be followed across the organization.
Work on proof of concepts for adoption of new technology and tools Basic Qualifications: - 5+ years of data engineering experience
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Bachelor's degree
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Preferred Qualifications: - Master's degree
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually
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