Senior Data Engineer, Amazon Security Experience
Amazon
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This role on the market
1,369 open experience roles across 260 companies are on ApplySarthi right now, most of them in Bengaluru (81), Hyderabad (33), Chennai (23).
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What experience roles keep asking for: Stakeholder management (12%) — counted across their open postings here.
Data Engineer jobs in the United States · Data Engineer jobs in Austin · Remote Data Engineer jobs · Data modelling jobs · ETL jobs · Hadoop jobs · Java jobs
Amazon has 14,388 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 experience roles keep coming back to Stakeholder management. 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 System design? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Senior Data Engineer, Amazon Security Experience at Amazon interview free →The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, Basic qualifications: - 7+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices - Experience with MPP databases such as Amazon Redshift - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Experience providing technical leadership and mentoring other engineers for best practices on data engineering - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Knowledge of distributed systems as it pertains to data storage and computing 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 - 154,600.00 - 209,100.00 USD annually USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually
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Listed on amazon · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.