Data Engineer I, Amazon Business Ops Analytics
Department:
Job Summary
Key job responsibilities
We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment build relationships with cross-functional teams and assume ownership for a broad array of domains. Flexibility and an ability to prioritize will be key. Our team culture is goal-oriented collaborative and driven to achieve results.
- Design and develop the data architecture data standards and end to end scalable data applications and data pipelines.
- Build and support the data warehouse & data lake platforms for data analyses ML/AI model development validation and implementation.
- Develop strong collaborative relationships with key partners in data engineering software development research modeling and marketing teams
- Develop the teams data strategy and technical road map of data storage & pipelines design and implementation
About the team
Amazon Business (AB) launched in the United States in April 2015 with the vision of delivering a comprehensive procurement solution for business customers of all the US AB now serves Fortune 500 companies hospital systems local governments and education organizations. To support ABs mission the AB Operations team owns end to end customer experience for AB customers right from checkout to final mile delivery and sits under the broader Global Transportation Services (GTS). We are the Single Threaded WW Ops team driving B2B operations developing products and programs unique to business customers and enhancing the core Amazon delivery capabilities for commercial addresses. While Amazon has built its core operations over the last two decades mostly catered towards the end-consumer we recognize that the business customers have unique needs and require a different set of features and services from their e-Commerce provider.
- 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)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.
CAN ON Toronto - 80700.00 - 134800.00 CAD annually
Required Experience:
IC
About Company
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