ApplySarthiData Engineer I, Worldwide Operations Finance, WW Ops Finance S&A, WW Ops Finance S&A
Amazon
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This role on the market
7,117 open operations roles across 718 companies are on ApplySarthi right now, most of them in Bengaluru (223), Hyderabad (173), Mumbai (139).
- Legal Operations SpecialistJobgether
- Analyst - KYB OperationsNium · mumbai
What operations roles keep asking for: Supply chain (21%), Excel (17%), Stakeholder management (13%) — counted across their open postings here.
Data Engineer jobs in Bengaluru · Data Engineer jobs in India · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · Hadoop jobs · Python jobs
Amazon has 16,311 open roles listed here.
- VAS Specialist, Value Added Servicesbengaluru
- ML Data Associate, AGIDS-IVA, AGIDS-IVAchennai
- ML Data Associate, AGIDS-IVA, AGIDS-IVAchennai
- Senior BMS Specialist, Global BMS Technical Serviceshyderabad
- Team Lead, Quick Commercebengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for operations roles keep coming back to Supply chain, Excel, 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 AWS? Tell me one thing you learned the hard way.
- 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?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Data Engineer I, Worldwide Operations Finance, WW Ops Finance S&A, WW Ops Finance S&A at Amazon interview free →Are you excited about turning complex financial data into trusted, actionable insights that help Amazon operate more efficiently across the globe? The Worldwide Operations Finance team is looking for a Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience with one or more scripting language (e.g., Python, KornShell) - Require 3+ years of creating production quality data pipelines along and exposure to data modelling Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Master's degree 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 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.