Agentic Data Engineer, Frontier AI Tooling
Amazon Web Services
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This role on the market
127 open frontier roles across 23 companies are on ApplySarthi right now, most of them in Bengaluru (2), Hyderabad (1), Delhi NCR (1).
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What frontier roles keep asking for: AWS (41%), Python (39%), Generative AI (31%), Machine learning (28%), C++ (24%), Java (22%), LLMs (20%), CI/CD (20%) — counted across their open postings here.
AWS jobs · Data modelling jobs · ETL jobs · IAM jobs
Amazon Web Services has 2,227 open roles listed here.
- Sr Solutions Architect, AWS Industries India - S&Tdelhi ncr
- Software Development Engineer, Billing Data Services, Billing Data Services
- Principal Business Developer - ISV, GenAI GTM Specialists, EMEA
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- Associate Delivery Consultant AI/ML, A2C ProServe Shared Delivery (SDT)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for frontier roles keep coming back to AWS, Python, Generative AI, Machine learning. Practise those questions before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- 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?
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Practise the Agentic Data Engineer, Frontier AI Tooling at Amazon Web Services interview free →Do you want to build the products that help AWS ProServe and Frontier AI teams understand customer needs, develop the right solutions, and deliver them at scale? We are looking for a Data Engineer to own Basic qualifications: - 3+ years of data engineering experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field - Experience writing and optimizing SQL queries with large-scale, complex datasets Preferred: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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 - 132,100.00 - 178,800.00 USD annually USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
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Listed on amazon · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.