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About the Role
At Amazon, engineers work on scalable systems, cloud services, and customer-facing products at a global scale. This role offers an environment to learn by building, taking ownership early, collaborating across teams, and growing skills while tackling new problems. It provides an opportunity to explore different directions and shape your career journey, where ambition meets opportunity and the impact of your work helps define what comes next.
Responsibilities
- Design, implement, and automate deployment of distributed systems 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 for business decision-making.
- Monitor and troubleshoot operational or data issues in data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Develop code based automated data pipelines capable of processing millions of data points.
- Improve database and data warehouse performance by tuning inefficient queries.
- Collaborate with Business Analysts, Data Scientists, and internal partners to identify opportunities and problems.
- Provide assistance with troubleshooting, researching root causes, and resolving defects.
Requirements
- Currently have, or are in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields.
- Are 18 years of age or older.
- Experience with data mining and data transformation.
- 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 languages (e.g., Python, KornShell).
- Work Monday-Friday, up to 40 hours per week.
Skills
- Data mining
- Data transformation
- Database solutions
- Data warehouse solutions
- Data lake solutions
- Data pipelines
- ETL processes
- SQL
- Python
- KornShell
- AWS
- Big data processing technology (e.g., Hadoop or Apache Spark)
- Data warehouse technical architecture
- Data warehouse infrastructure components
- ETL
- Reporting/analytic tools and environments
- Datatype differences (e.g. JSON/NoSQL, relational)
Location
- Toronto, ON
Work Type
- Full-time
- In-office
- Monday-Friday
- Up to 40 hours per week
Experience Level
- Entry level
Education Level
- Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
Salary/Compensations
- 97,100.00 CAD Annually
Benefits
- Basic life & AD&D insurance
- Paid time off
- Resources to improve health and well-being
About the Company
- Amazon's tech serves as a playground for engineers, working on scalable systems, cloud services, and customer-facing products at a global scale.
- The company fosters an environment where learning happens through building, with opportunities to create cloud-native solutions, optimize machine learning models, and build products for millions of customers worldwide.
- Amazon offers a career with real responsibility from day one, where employees build, test, and learn alongside supportive colleagues, making an impact that reaches far beyond campus.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Inclusive culture empowers Amazonians to deliver the best results for customers.
- Provides workplace accommodations or adjustments for individuals with disabilities during the application and hiring process, including interview or onboarding support.