Boulder

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 teamAmazon 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-cloudKey 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 solutionsAbout the teamOur 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.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 practices ...

Do you want to work in a start-up environment with the resources of Amazon behind you? We’re building a new team the Boulder area, a rapidly emerging tech hot spot. Not only will you work with other smart, driven, innovative engineers, you’ll live in the beautiful foothills of the Rocky Mountains where there’s approximately 300 days of sunshine and a huge variety of activities to keep both your mind and body in great shape.We have an opening for a software engineer on the Amazon Marketing Cloud (AMC) team. AMC teams build a secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple data sets enabling them to make more informed decisions about their cross-channel marketing investments. The role will be focused on the services that power AMC and enable it to scale.Our services ingest billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success. We work in some of the most exciting computer science domains (massive scale streaming systems, machine learning, data science, cloud native development). We build front-ends in ReactJS and back-ends with Kotlin and native AWS. We are *not* looking for an expert in any one of these particular domains (although, it wouldn't hurt). We are looking for a motivated software engineer with a proven track record of solid computer science fundamentals and building production quality software systems.If you are excited about working with the latest technologies to massively scale a new product this is the right place for you. The ideal candidate will be innovative, have great problem solving, analytical and technical skills. You demonstrate exceptional customer relationships skills and love to discover the true requirements underlying feature requests. You enjoy simplifying complex problems and tackling tough challenges.If this sounds like a good fit, then come help us build the Amazon Marketing Cloud.About the teamAmazon 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. We are building capabilities where customers can perform custom measurement, media planning, targeting and optimization (deterministic and machine learning model based). This is multi-year greenfield project with exposure to direct customers, building software as a solution (SAAS) on native AWS stack, building framework to perform advanced analytics including machine. Learn more from links belowAMC: https://advertising.amazon.com/solutions/products/amazon-marketing-cloudBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Are you passionate about using Big Data to build customer trust and grow new business? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform and improve the relevance of ads shown to customers.We’re looking for strong Software Engineers that can build upon technologies such as Elasticsearch, Spark, Hive and Presto, as well as AWS services like Elastic Map Reduce (EMR), Redshift, Kinesis and DynamoDB to build the next generation of our analytics and visualization platform. If this sounds interesting we’d love to hear from you!Amazon is well positioned to grow its share of a fast growing online advertising industry due to its unique assets - e-commerce data, service oriented architecture, and startup culture. Be part of a team of industry leading experts that builds and operates one of the largest big data analytics platform at Amazon. Amazon is applying the latest big data technologies available to change the way marketers purchase, track, measure, and optimize their advertising spend. We apply these technologies on terabytes of data (over 10B new events per day) and operate clusters that push scalability limits of the existing technologies. We seek to measure every possible signal indicating impact of advertising to provide the most objective result of marketing spends.This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...