Data Engineer, Amazon Marketing Cloud (AMC)

Job summary
Do you want to work in a start-up environment with the resources of Amazon behind you? We’re building a new team in Toronto to help build out Amazon Marketing Cloud (AMC). AMC is a secure, privacy-safe, and cloud-based environment in which advertisers can easily perform analytics across multiple data sets to generate insights to take programmatic actions. 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. We are managing massive scale streaming systems, applying machine learning and data science expertise using Hadoop, Elastic MapReduce, and Spark to drive optimizations and insights while building front-ends in ReactJS to help internal and external advertisers to deeply understand their customers and markets.

You can read more about Amazon Marketing Cloud (AMC) here: https://advertising.amazon.com/en-ca/solutions/products/amazon-marketing-cloud).

We’re looking for experienced, motivated software engineers with a proven track record of building data engineering and scalable web services. 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.

The ideal candidate will be innovative, have great problem solving, analytical and technical skills. You must be comfortable and confident working on Linux systems. You have a deep understanding of software development in an agile team environment. 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 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 at physical/online retail and advertising to provide the high quality and scalable big data flow for physical stores advertising 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. Join today and you will transform how customers discover and shop at physical stores!

Basic Qualifications

· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL

Preferred Qualifications

· 3+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience working with AWS big data technologies (EMR, Redshift, S3)
· Demonstrated strength in data modeling, ETL development, and data warehousing
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Ability to thrive in a fast-paced and dynamic environment with sharp analytical abilities and design skills

Amazon is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.


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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.