Description

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.

Hercules is part of the Worldwide Advertiser Success Engineering (WASE) Productivity and Platform team. We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing and fast APIs. Our data platform is designed to serve Sales, Account, Marketing and Support (SAMS) teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.

Key job responsibilities

Key job responsibilities

• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.

• Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting

• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.

• Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.

• Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.

• Mentor other engineers, influence positively team culture, and help grow the team.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with SQL

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 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://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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.