Business Intelligence Engineer, Core Shopping Data Science
Amazon.com Services LLC
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This role on the market
701 open intelligence roles across 186 companies are on ApplySarthi right now, most of them in Bengaluru (54), Hyderabad (33), Chennai (8).
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What intelligence roles keep asking for: Python (28%), SQL (28%), AWS (19%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%) — counted across their open postings here.
Business Intelligence Engineer jobs in the United States · Business Intelligence Engineer jobs in Seattle · AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon.com Services LLC has 4,316 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 intelligence roles keep coming back to Python, SQL, AWS, Tableau. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- 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?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Business Intelligence Engineer, Core Shopping Data Science at Amazon.com Services LLC interview free →Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Building metrics using LLMs as a judge - Building reusable AI based tools for measurement, deep dive and operations Preferred: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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 - 99,500.00 - 160,000.00 USD 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.com Services LLC, not by us.