Data Engineer 2025 CAN
Data Engineer 2025 CAN
Posted on :
18-04-2025
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1 Vacancy
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Job Description
NOTE: This position is for Vancouver. However by applying to this position your application may be considered for all locations we hire for in Canada including but not limited to: Vancouver BC; Toronto ON Winnipeg MN Victoria BC Ottawa ON Calgary AB. Locations are subject to change.
Do you love building data pipelines Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data Do you want to help solve big data warehousing problems and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions Do you want to be a part of a fastpaced environment and contribute to one of the most visited sites on the Internet
At Amazon we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the worlds most beloved brands customer obsession is part of our company DNA. Data engineers use cuttingedge technology to solve complex problems and get to see the impact of their work firsthand.
The challenges data engineers solve for at Amazon are big and impact millions of customers sellers and products around the world. Our path is not always simple so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon someone who is excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years.
Key job responsibilities
As a Data Engineer you will/may:
Design implement and automate deployment of our distributed system for collecting and processing log events from multiple sources.
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Own the design development and maintenance of ongoing metrics reports analyses and dashboards that engineers analysts and data scientists use to drive key business decisions.
Monitor and troubleshoot operational or data issues in the data pipelines.
Drive architectural plans and implementation for future data storage reporting and analytic solutions.
Develop code based automated data pipelines able to process millions of data points.
Improve database and data warehouse performance by tuning inefficient queries.
Work collaboratively with Business Analysts Data Scientists and other internal partners to identify opportunities/problems.
Provide assistance with troubleshooting researching the root cause and thoroughly resolving defects in the event of a problem.
A day in the life
Were on the lookout for the curious those who think big and want to define the world of tomorrow.
At Amazon you will grow into the high impact visionary person you know youre ready to be. Every day will be filled with exciting new challenges developing new skills and achieving personal growth.
How often can you say that your work changes the world At Amazon youll say it often. Join us and define tomorrow.
Experience with database data warehouse or data lake solutions
Experience building data pipelines or automated ETL processes
Experience with SQL
Experience with one or more scripting language (e.g. Python KornShell)
Are 18 years of age or older
Are enrolled in or have completed a academic program that is physically located in Canada
Experience with data mining and data transformation.
Currently working towards a Bachelors Degree in Computer Science Computer Engineering Information Management Information Systems or an equivalent technical discipline with an expected conferral date between September 2023 and March 2025 and/or completed your degree no more than 24 months ago.
Experience with data visualization software (e.g. AWS QuickSight or Tableau) or opensource project
Experience with big data processing technology (e.g. Hadoop or ApacheSpark) data warehouse technical architecture infrastructure components ETL and reporting/analytic tools and environments
Knowledge of writing and optimizing SQL queries in a business environment with largescale complex datasets
Knowledge of basics of designing and implementing a data schema like normalization relational model vs dimensional model
Previous technical internship(s) if applicable
Prior experience with AWS
Can articulate the basic differences between datatypes (e.g. JSON/NoSQL relational)
Enrolled in a Masters Degree or advanced technical degree with an expected conferral date between September 2023 and March 2025 and/or completed your degree no more than 24 months ago.
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.
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 for this position ranges from $80700/year up to $134800/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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. Applicants should apply via our internal or external career site.
Do you love building data pipelines Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data Do you want to help solve big data warehousing problems and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions Do you want to be a part of a fastpaced environment and contribute to one of the most visited sites on the Internet
At Amazon we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the worlds most beloved brands customer obsession is part of our company DNA. Data engineers use cuttingedge technology to solve complex problems and get to see the impact of their work firsthand.
The challenges data engineers solve for at Amazon are big and impact millions of customers sellers and products around the world. Our path is not always simple so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon someone who is excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years.
Key job responsibilities
As a Data Engineer you will/may:
Design implement and automate deployment of our distributed system for collecting and processing log events from multiple sources.
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Own the design development and maintenance of ongoing metrics reports analyses and dashboards that engineers analysts and data scientists use to drive key business decisions.
Monitor and troubleshoot operational or data issues in the data pipelines.
Drive architectural plans and implementation for future data storage reporting and analytic solutions.
Develop code based automated data pipelines able to process millions of data points.
Improve database and data warehouse performance by tuning inefficient queries.
Work collaboratively with Business Analysts Data Scientists and other internal partners to identify opportunities/problems.
Provide assistance with troubleshooting researching the root cause and thoroughly resolving defects in the event of a problem.
A day in the life
Were on the lookout for the curious those who think big and want to define the world of tomorrow.
At Amazon you will grow into the high impact visionary person you know youre ready to be. Every day will be filled with exciting new challenges developing new skills and achieving personal growth.
How often can you say that your work changes the world At Amazon youll say it often. Join us and define tomorrow.
Experience with database data warehouse or data lake solutions
Experience building data pipelines or automated ETL processes
Experience with SQL
Experience with one or more scripting language (e.g. Python KornShell)
Are 18 years of age or older
Are enrolled in or have completed a academic program that is physically located in Canada
Experience with data mining and data transformation.
Currently working towards a Bachelors Degree in Computer Science Computer Engineering Information Management Information Systems or an equivalent technical discipline with an expected conferral date between September 2023 and March 2025 and/or completed your degree no more than 24 months ago.
Experience with data visualization software (e.g. AWS QuickSight or Tableau) or opensource project
Experience with big data processing technology (e.g. Hadoop or ApacheSpark) data warehouse technical architecture infrastructure components ETL and reporting/analytic tools and environments
Knowledge of writing and optimizing SQL queries in a business environment with largescale complex datasets
Knowledge of basics of designing and implementing a data schema like normalization relational model vs dimensional model
Previous technical internship(s) if applicable
Prior experience with AWS
Can articulate the basic differences between datatypes (e.g. JSON/NoSQL relational)
Enrolled in a Masters Degree or advanced technical degree with an expected conferral date between September 2023 and March 2025 and/or completed your degree no more than 24 months ago.
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.
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 for this position ranges from $80700/year up to $134800/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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