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Data Engineer - II, LMAQ-DE

Amazon

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This role on the market

10,084 open data roles across 1,007 companies are on ApplySarthi right now, most of them in Bengaluru (524), Hyderabad (359), Mumbai (157).

What data roles keep asking for: Python (39%), SQL (34%), AWS (29%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.

Data Engineer jobs in Hyderabad · Data Engineer jobs in India · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · ETL jobs · IAM jobs

Amazon has 17,022 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. 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 ETL? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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Job Description:Are you interested in being part of rapidly expanding Amazon initiative to redefine how we deliver packages to Amazon customers and take your skills and career to the next level? Join the Basic qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - 2+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS 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 2026-09-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.