ApplySarthi

Data Engineer II

Amazon

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

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).

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

Amazon has 16,717 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 AWS? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. 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 →

The Amazon ShipTech Analytics organization is looking for a smart and ambitious individual to support the development of analytical tools and data processing solutions for the Amazon transportation business. Basic qualifications: - Bachelor's degree - 3+ years of data engineering experience - 3+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Preferred: - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - 5+ years of data engineering experience - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions 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

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on amazon · posted 2026-10-22. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.