Who you are

- We’re on the lookout for the curious, those who think big and want to define the world of tomorrow

- Currently has, or is 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 language (e.g., Python, KornShell)

- Work Monday-Friday, up to 40 hours per week

- Experience with AWS
- Experience from previous technical internship(s) or demonstrated project experience

- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model

- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments

- Can articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational)

What the job involves

- At Amazon, our tech isn't just a tool, it's your playground

- Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale

- This is an environment where you learn by building

- Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast

- You'll take ownership early,



collaborate across teams and disciplines, and grow your skills as you tackle new problems

- There's no single path forward here, with a chance to explore different directions and shape your journey as you go

- This is where ambition meets prospect and, where the impact of what you build helps define what comes next, for customers and for you

- This is a full-time position, meaning candidates should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager

- 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

📌 Data Engineer (Toronto)
🏢 Amazon
📍 Toronto