Sr. Data Engineer, WW Pricing Data and Insights
Amazon
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This role on the market
422 open insights roles across 108 companies are on ApplySarthi right now, most of them in Hyderabad (42), Bengaluru (17), Mumbai (5).
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What insights roles keep asking for: SQL (31%), Excel (25%), Stakeholder management (25%), Python (23%), Tableau (17%), Power BI (16%), AWS (13%), Machine learning (12%) — counted across their open postings here.
Data Engineer jobs in Canada · Remote Data Engineer jobs · Data modelling jobs · ETL jobs · Generative AI jobs · Hadoop jobs
Amazon has 17,178 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 insights roles keep coming back to SQL, Excel, Stakeholder management, Python. 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.
- Tell me about a time the data was messy or wrong. What did you do?
- 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?
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Practise the Sr. Data Engineer, WW Pricing Data and Insights at Amazon interview free →WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently Basic qualifications: - 5+ 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 Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Bachelor's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or experience in defining and creating benchmarks for assessing GenAI model performance 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 135,700.00 - 226,500.00 CAD annually
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Listed on amazon · posted 2026-08-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.