Passionate about Big Data and Distributed Systems? Interested in building new
state-of-the-art products at Petabyte scale? Be part of a team of industry
leading experts that operates one of the largest big data analytics platforms at
Amazon. We are responsible for end to end processing of impressions, views, and
clicks as well as video interaction events or rich media events in ads. We are
applying the latest machine learning and big data technologies available on
terabytes of data a day (over 30B new events per day) operating Petabyte size
clusters. Our data must always be the fastest, most high fidelity data as it is
both billable, critical to checking the heartbeat of a campaign and changes to
made to the campaigns while in flight, and part of the measure of success for a
campaign.
We are looking for an experienced software engineer that can combine open source
technologies such as Hadoop, Hive, Spark and Presto, as well as AWS services
like EMR, Redshift, Kinesis and DynamoDB to build the next generation of our
Traffic Ingestion and Application platform. You will be responsible for
designing and developing software products that will provide measurement and
reporting to a wide set of users across all of Amazon's advertising suite across
display, search, native, and video on all devices.
Candidates for this position should have strong software engineering
fundamentals as well as real-world experience. You will be able to demonstrate a
variety of architectural approaches and design patterns and have a demonstrated
competence in designing maintainable and scalable software written in a
high-level language. You will show your ability to adapt to changing technical
environments and devise creative solutions to vexing software problems.
Candidates must have the ability to communicate effectively, both in writing and
orally, to engineers and executives.
Join the fast growing Amazon Ads business! Amazon is leveraging its highly
unique data to change the way marketers purchase, track, measure, and optimize
their advertising spend. You will encounter some of the toughest and most
inspiring technical challenges of your career as you build petabyte-scale
services, invent new big data paradigms, and scale for growth.
