Amazon
Data Engineer, Measurement, Ad Tech, and Data Science (MADS)
Amazon, Boulder, Colorado, United States, 80301
Description
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. AMC reports can help with 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. Naturally, we need awesome Data Engineers to help us in data transformation to help scale our business.
If I were hired, what would I be working on?
In this role, you will build and maintain the infrastructure to answer questions with data, using engineering best practices, data management fundamentals, data storage principles, and operational excellence best practices. Data Engineer will work closely with engineering, business intelligence 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
Basic Qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
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 $91,200/year in our lowest geographic market up to $185,000/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. AMC reports can help with 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. Naturally, we need awesome Data Engineers to help us in data transformation to help scale our business.
If I were hired, what would I be working on?
In this role, you will build and maintain the infrastructure to answer questions with data, using engineering best practices, data management fundamentals, data storage principles, and operational excellence best practices. Data Engineer will work closely with engineering, business intelligence 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
Basic Qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
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 $91,200/year in our lowest geographic market up to $185,000/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.