Senior Data Engineer, Measurement, Ad Tech, and Data Science (MADS)

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

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 $139,100/year in our lowest geographic market up to $240,500/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.
Advertising Amazon Marketing Cloud (AMC) teams build Advanced Analytics System that are secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple, pseudonymized data sets to generate aggregated reports. Inputs can include an advertiser’s own data sets, as well as their Amazon Advertising campaign events, such as impressions, clicks, and conversions. The services you will work on are directly used by our customers and operate at Big Data scale, ingesting and processing billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success.

The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient, automated, end-to-end data solutions and services. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data solutions to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.

If I were hired, what would I be working on?
In this role, you will build and maintain customer facing data products and data solutions for our Amazon Advertising customers using engineering best practices, data management fundamentals, data storage principles, and operational excellence best practices. You will work closely with other engineering and product teams across Amazon Advertising to provide the high quality and scalable big data flow for datasets. This is a large initiative that spans across multiple existing and to be formed engineering and product teams within the Advertising organization.

Why should I join your team?
Are you interested in building a green field product opportunity within Amazon Advertising? Do you want to have direct and immediate impact on millions of customers every day? If you are a self-starter, enjoy designing large scale distributed and orchestration systems, and are intrigued by ambiguous problems, this is a unique and rare opportunity to build a new initiative from scratch with some of the best full-stack engineers at Amazon. We pioneer the usage of modern full-stack technologies at Amazon scale!
We’re looking for experienced, motivated Data Engineer with a proven track record of leading large scale initiatives that span across multiple organizations. If you are passionate about developing analytical solutions to solve business problems, and you are looking for a team that drives results that influence Amazon’s business, this is the right place for you.

About the team
Amazon Marketing Cloud (AMC) is an advanced analytics product that is secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple, pseudonymized data sets to take actions for their Advertising Activities. AMC unlocks advanced campaign measurement, audience refinement, supply optimization, and more, enabling advertisers to make more informed decisions about their cross-channel marketing investments. Our services ingest billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success.

AMC: https://advertising.amazon.com/solutions/products/amazon-marketing-cloud

Amazon Advertising Team ( Video): https://youtu.be/zD_6Lzw8raE]https://youtu.be/zD_6Lzw8raE

Key job responsibilities
- Develop data products, infrastructure, and Big Data solutions and services leveraging Native AWS services (such as Redshift, Kinesis, EMR, Lambda etc.)
- Develop new data models and end to data pipelines.
- Collaborate with a team of other Data Engineers and Software Development Engineers on data delivery best practices.
- Contribute to infrastructure planning and operational excellence continued improvements.
- Lead and participate in engineering design reviews for solutions

About the team
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.