Data Engineer - PubTech Data, Insights & Analytics, Amazon

- Bachelor's degree
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with Redshift, Oracle, NoSQL etc.
- Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

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 $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.
The Publisher Technology Data, Insights, and Analytics team enables faster data-driven decision making for Publishers and Monetization teams by providing them with near real time data, data management tools, actionable insights, and an easy-to-use reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.

Amazon is continuing to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences, along with the experiences themselves. We bias toward standards-based and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.

As a Data Engineer, you will to build a reliable and efficient data platform to support Analytics and intuitive data products that allow our stakeholders to easily leverage data in a efficient and self-service manner. As part of this team, you will work on diverse data technologies such as Spark, Iceberg, Kafka, and various other AWS technologies to build a scalable and robust data platform supporting Analytics and Experimentation. You will own creating end-to-end data pipelines that consolidate large data sets across various disparate systems and combine them into easily consumable data sets that drive actionable insights for your customers.

A successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that advertisers love. You must engage with customers to deeply understand their current and emerging needs. Video advertising is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of their customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.

Key job responsibilities
- Lead, design, and implement Data Pipelines from the ground up utilizing native AWS technologies.
- Build robust and scalable end-to-end data pipelines to support Analytics and Science Products
- Creatively explore how to use data to continually add value to the Advertising business.
- Be a bridge between data engineering and the business, enabling insight that can empower better decision-making.
- You have an eye for detail and like to spark joy amongst your cross-functional partners with well-documented high-quality data products that are modeled and easy to understand.