Data Engineer, Conversational Shopping Data Engineering
Amazon
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This role on the market
27 open conversational roles across 20 companies are on ApplySarthi right now, most of them in Bengaluru (2), Delhi NCR (1).
- Associate Vice President, Conversational ChannelsHumana
- Principal Conversational & Agentic AI ArchitectVerizon
- Conversational AI Application Developer (English and French Speaker)Omilia Natural Language Solutions Ua Ltd
- Conversational AI DeveloperPwc
- Conversational AI Engineering ManagerJobgether
What conversational roles keep asking for: LLMs (48%), Generative AI (26%), Java (26%), Product management (26%), Python (19%), CI/CD (15%), Machine learning (15%), Node.js (15%) — counted across their open postings here.
Data Engineer jobs in Bengaluru · Data Engineer jobs in India · Remote Data Engineer jobs · AWS jobs · C# jobs · C++ jobs · Data modelling jobs
Amazon has 14,559 open roles listed here.
- Seasonal MyHR Live Support Sr. Advisordelhi ncr
- Software Development Engineer (SDE2), AWS
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- Security Engineer, AWS Security
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for conversational roles keep coming back to LLMs, Generative AI, Java, Product 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 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 Data Engineer, Conversational Shopping Data Engineering at Amazon interview free →Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a new shopping Basic qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby 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) 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 2026-10-01. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.