Data Engineer II
Amazon
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This role on the market
9,538 open data roles across 958 companies are on ApplySarthi right now, most of them in Bengaluru (513), Hyderabad (338), Mumbai (162).
- Data Scientist-Artificial IntelligenceIBM
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- Sr GTM Specialist Database, EMEA GTM Specialist Data teamAmazon Web Services
- Data AnalystGartner · delhi ncr
- Full-Stack AI Engineer / Data Scientist – Agentic SystemsRoche · hyderabad
What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Azure (13%), 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 · ETL jobs · IAM jobs
Amazon has 16,717 open roles listed here.
- Data Center Logistics Specialist, Data Center Logistics Specialistmumbai
- Applied Scientist II, Detail Pagebengaluru
- Data Engineer, MIDAS, Digital Accelerationchennai
- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
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
- 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?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Data Engineer II at Amazon interview free →Are you passionate about working with data at scale? Do you love bringing data together from diverse systems and sources and working on critical problems for understanding customer behaviour and generating Basic qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines 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. null
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Listed on amazon · posted 2026-11-02. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.