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Data Engineer II, AWS Analytics Engineering - FDT

Amazon

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5,689 open engineering roles across 442 companies are on ApplySarthi right now, most of them in Bengaluru (320), Hyderabad (105), Delhi NCR (50).

What engineering roles keep asking for: AWS (17%), Python (14%) — counted across their open postings here.

Data Engineer jobs in the United States · Data Engineer jobs in Seattle · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs

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Preparing for this interview

Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS — we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight Basic qualifications: - 5+ years of data engineering experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies and Data Modeling Experience - Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy 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) - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - 4+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle 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, WA, Seattle - 132,100.00 - 178,800.00 USD annually

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Listed on amazon · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.