Data Engineer I
Data Engineering
- LocationBengaluru, Karnataka, India
- TypeFull-time
- Experience1+ years required
- SalaryNot disclosed
SQL, Python, Hive, Spark, ETL, Scala
Overview
This role involves building and maintaining data infrastructure for fraud prevention across seller lifecycles. The Data Engineer will design scalable systems, work with cross-functional teams, and ensure data reliability through quality checks and performance optimization.
Summarised by InternDoor from Amazon’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.
Responsibilities
- Design and develop scalable data systems using medallion architecture
- Collaborate with data scientists and analysts on fraud detection requirements
- Optimize data storage and implement quality checks for integrity
Requirements
- Experience
- 1+ years
What the posting states about who can apply. Read the posting for its full list.
How to apply
- Check what they ask for. Read the requirements above: Amazon asks for 1+ years.
- Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
- Apply on Amazon’s careers site. The application is on amazon.jobs, not on InternDoor. We never ask for a fee.
Apply soon: postings like this can close without notice, and this one states no deadline.
Application details
- Posted
- , on LinkedIn
- First seen by InternDoor
- , within 28 minutes of being posted
- Last checked
- : the posting was still in LinkedIn’s search results. We have not checked its application page.
- Application deadline
- Amazon has not stated one
- Leaves InternDoor
- By , our 30-day limit for LinkedIn listings, or sooner if the application closes
- Application page
- amazon.jobs
What we checked, and what the dates mean
The date this listing leaves InternDoor is our own rule, not a deadline set by Amazon. Postings can close earlier, at any time.
InternDoor has recorded 144 engineering postings from Amazon in India since Aug 2026.
When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.
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