Business Intelligence Engineer, Search Capacity
Amazon
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This role on the market
881 open intelligence roles across 197 companies are on ApplySarthi right now, most of them in Bengaluru (46), Hyderabad (33), Chennai (7).
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What intelligence roles keep asking for: Python (36%), SQL (31%), AWS (20%), Machine learning (17%), Stakeholder management (16%), Tableau (16%) — counted across their open postings here.
AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs
Amazon has 16,718 open roles listed here.
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- Applied Scientist II, Detail Pagebengaluru
- Data Engineer, MIDAS, Digital Accelerationchennai
- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
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, Machine learning. 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.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Business Intelligence Engineer, Search Capacity at Amazon interview free →The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Basic qualifications: - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience with forecasting and statistical analysis - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience using SQL (Structured Query Language) to pull data from a database or data warehouse Preferred: - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience using Python scripting to process data for modeling - Experience with data modeling, warehousing and building ETL pipelines - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business 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.
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Listed on amazon · posted 2026-10-27. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.