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Business Intelligence Engineer, AWS Compliance & Security Assurance

Amazon Web Services, Inc.

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This role on the market

709 open intelligence roles across 191 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (33), Chennai (8).

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 · ETL jobs · IAM jobs

Amazon Web Services, Inc. has 1,240 open roles listed here.

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 Web Services, Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services, Inc.?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. How would you cut the cloud bill of a system without hurting it?
  4. How do you keep secrets and access safe in your infrastructure?
  5. Walk me through how code gets from a commit to production where you work.

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The AWS Security Assurance Engineering (SAE) team's mission is to build and enhance mechanisms which continuously demonstrate that AWS meets and exceeds the high security and compliance bar expected by Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 3+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience working directly with business stakeholders to translate between data and business needs Preferred: - 7+ years of business intelligence and analytics experience - Experience developing, deploying and managing AI products at scale - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Bachelor’s Degree in Data Science, Statistics or related field. - Experience with AWS technologies such as S3, AWS Glue, Lambda, IAM, Bedrock, SageMaker, Step Functions 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 2026-08-24. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, Inc., not by us.