Data Engineer, Amazon Prime
Amazon
Amazon is also hiring for this role in CA, BC, Vancouver.
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This role on the market
2,550 open amazon roles across 32 companies are on ApplySarthi right now, most of them in Bengaluru (131), Hyderabad (64), Mumbai (19).
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What amazon roles keep asking for: AWS (16%), C++ (14%), Python (14%), Supply chain (13%), Java (13%) — counted across their open postings here.
Data Engineer jobs in the United States · Data Engineer jobs in Seattle · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · ETL jobs · IAM jobs
Amazon has 16,663 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for amazon roles keep coming back to AWS, C++, Python, 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 AWS? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- 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.
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Practise the Data Engineer, Amazon Prime at Amazon interview free →Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime. The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement. Basic qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets 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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
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Listed on amazon · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.