Amazon

DESCRIPTION

Look up Project Amelia to learn more about the vision. https://www.aboutamazon.com/news/innovation-at-amazon/amazon-project-amelia

The Selling Partner Experience (SPX) is on a mission to build and enable a trusted Selling Assistant (Project Amelia) that empowers our partners (e.g., sellers, account managers) to thrive in Amazon Stores globally. By enabling our partners to ask questions in their own words at any time and from anywhere in their selling journey we will reduce the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The Selling Assistant will stay by the partners' side, communicate in their language, remove bottlenecks to accessing information and enable them to capitalize on opportunities.

SPX is a place where data drives most of our decision-making. Project Amelia team is looking for a talented data engineer who can be innovative, a strong problem solver and can lead the implementation of the analytical data infrastructure that will guide decision making. This data engineer should use both quantitative and qualitative methods to get things done. This position offers exceptional opportunities to grow your technical and non-technical skills. You have the opportunity to really make a difference to the assistant by inventing, enhancing and building world class data service.

As a Data Engineer, you are responsible for analyzing large amounts of business data, solving real world problems, and developing metrics and business cases that will enable us to continually delight our customers worldwide. You will work with a team of Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale the analysis, and to make the data more actionable at scale. You will own many large datasets, implement new data pipelines that feed into or from critical data systems at Amazon.

You must be able to prioritize and work well in an environment with competing demands. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.

Key job responsibilities

• Design, implement and support an analytical data infrastructure
• Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
• Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms.
• Contribute to the development of the BI tools, skills, culture and impact.
• Write advanced SQL queries and Python code to develop solutions

A day in the life

This role requires you to live at the intersection of data, software, and analytics. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue.

You will drive the development process from design to release.

BASIC QUALIFICATIONS

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.