Senior Data Engineer, WW Ops Finance - S&A
Amazon
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This role on the market
2,337 open finance roles across 439 companies are on ApplySarthi right now, most of them in Bengaluru (95), Hyderabad (92), Delhi NCR (70).
- Product Lead, T:0 (Agentic) FinanceAirwallex
- Head of FinanceJobgether
- Business Transformation Consultant-Finance TransformationIBM
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- Corporate Finance ManagerPwc
What finance roles keep asking for: Accounting (54%), Excel (28%), SAP (24%), SQL (23%), Stakeholder management (18%), ERP (17%), Financial modelling (15%) — counted across their open postings here.
Data Engineer jobs in the United States · Remote Data Engineer jobs · Data modelling jobs · ETL jobs · Hadoop jobs · Java jobs
Amazon has 16,900 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 finance roles keep coming back to Accounting, Excel, SAP, SQL. 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 Data modelling? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- 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.
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Practise the Senior Data Engineer, WW Ops Finance - S&A at Amazon interview free →Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data 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 building data products incrementally and integrating and managing data sets from multiple sources Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Knowledge of large scale automation and workflow management or equivalent 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, Irving - 154,600.00 - 209,100.00 USD annually USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually
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Listed on amazon · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.