Amazon
Senior Data Engineer, Measurement, Ad Tech, and Data Science (MADS)
Amazon, Boulder, Colorado, United States, 80301
Senior Data Engineer, Measurement, Ad Tech, and Data Science (MADS)
Job ID: 2777826 | Amazon.com Services LLCAdvertising Amazon Marketing Cloud (AMC) teams build Advanced Analytics Systems that are secure, privacy-safe, and dedicated cloud-based environments 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 hired, 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. You will work closely with engineering, business intelligence, and product teams across Amazon Advertising to provide 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.
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 Engineers 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.
BASIC QUALIFICATIONS
- 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 practicesPREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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.Posted:
September 17, 2024 (Updated about 24 hours ago)
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Job ID: 2777826 | Amazon.com Services LLCAdvertising Amazon Marketing Cloud (AMC) teams build Advanced Analytics Systems that are secure, privacy-safe, and dedicated cloud-based environments 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 hired, 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. You will work closely with engineering, business intelligence, and product teams across Amazon Advertising to provide 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.
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 Engineers 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.
BASIC QUALIFICATIONS
- 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 practicesPREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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.Posted:
September 17, 2024 (Updated about 24 hours ago)
#J-18808-Ljbffr