Data Engineer III

Job Description



Amazon strives to be the worlds most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy.

Advertising is an extension of the shopping experience and as consumers watch more video than ever, a viewing revolution is underway in how people consume video and connect with brands.

The Global Sales Operations unit of Amazon Advertising business is growing at a fast pace and this teams mission is to apply technology to accelerate that growth through best-in-class software engineering, data engineering, and business intelligence. We are building sales enablement products for Amazon Advertising front line sales team. We want to ensure that the sales team has all the information about the customer and their potential to up-sell at their fingertips and they are not wasting time in inefficiencies.

The team is looking for motivated, thoughtful self-starters who can contribute right away to the design and development of these new data strategies and who can partner closely with Sales tech team to deliver products that truly move the needle for innovation.

A qualified candidate for this role enjoys working with challenging data problems, developing workflows and services, and solving end to end scalable reporting issues with extensible data solutions for green field. Data Engineers on this team can turn large data sets and disparate systems into easily consumable data sets which can be presented on actionable, insight-driven products that can help Sales teams serve some of the worlds best known brands as well as small businesses selling products on Amazon.

If you are interested in being part of Amazon Advertising and building services that allow Advertising to reach its innovative goals, then we look forward to connecting with you.

You'll be part of a world-class team in a tech-driven environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing.

Key job responsibilities

Contribute to the architecture and implementation of next generation data and BI solutions from the ground upManage AWS resources including EC2, Redshift, EMR, Lambda etc.

Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.

Make large and/or complex data more accessible, understandable and usable by applications and teams

5+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
5+ years of DW experience.
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Experience in deploying software to cloud environments like AWS
Developing, architecting and deploying large scale BI solutions
Experience with scalable columnar databases like Amazon Redshift
Knowledge of data management fundamentals and data storage principles
Knowledge of distributed systems as it pertains to data storage and computing such as building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience using Linux/UNIX to process large data sets.
Strong communication skills - both written and verbal
Superior attention to detail and ability to successfully manage multiple competing priorities simultaneously.
Good Communication skills and team player

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://(Use the "Apply for this Job" box below).

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