ApplySarthi

Data Engineer II, SPIA

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.

Prep SarthiFree 7-min demoPractise this interview with an AI interviewer, out loud.Unlimited mocks · ₹99/month →Live Sarthi30 min free demoAnswer hints during the real call, hidden from supported screen sharing.Unlimited interviews · ₹149/2 days · Windows →

Skills named in this job

Read from the description itself, not inferred.

This role on the market

9,534 open data roles across 957 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 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.

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. 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?

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, SPIA at Amazon interview free →

Join Amazon’s Selling Partner Insights and Analytics (SPIA) organization as a Data Engineer, where you'll build the data infrastructure powering 200+ business teams across Amazon Stores. Shape the future Basic qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL 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) - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent 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 2026-10-28. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.