ApplySarthiSenior Business Intelligence Engineer, Infra Supply Chain Automation
Amazon Data Services, Inc.
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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 · AWS jobs · ETL jobs · Machine learning jobs · Python jobs
Amazon Data Services, Inc. has 2,065 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 Data Services, Inc..
Questions you are likely to be asked
- Why do you want to join Amazon Data Services, Inc.?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
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 Senior Business Intelligence Engineer, Infra Supply Chain Automation at Amazon Data Services, Inc. interview free →AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers Basic qualifications: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience programming to extract, transform and clean large (multi-TB) data sets - 5+ years of SQL experience - 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - Experience with theory and practice of design of experiments and statistical analysis of results - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred: - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 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 Data Services, Inc., not by us.