Data Engineer, Early Career - 2026 (CAN)
Amazon
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This role on the market
264 open career roles across 44 companies are on ApplySarthi right now, most of them in Chennai (1).
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What career roles keep asking for: Supply chain (13%) — counted across their open postings here.
Data Engineer jobs in Canada · Remote Data Engineer jobs · AWS jobs · Data warehousing jobs · ETL jobs · Hadoop jobs
Amazon has 14,204 open roles listed here.
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for career roles keep coming back to Supply chain. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Data warehousing? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Data Engineer, Early Career - 2026 (CAN) at Amazon interview free →NOTE: By applying to this position, your application will be considered for Toronto, ON to start in November or December 2026.Shape what comes next | Discover careers in TechAt Amazon, our tech isn't just Basic qualifications: - 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 Preferred: - 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) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. In addition, Amazon offers basic life & AD&D insurance, 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. Toronto, ON, CAN - 97,100.00 CAD Annually
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Listed on amazon · posted 2026-09-24. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.