Data Engineering Intern
Data Engineering
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Posted in the last 24 hours.
The gist
This internship involves working on data pipelines for a fintech payments platform, supporting analytics and compliance. You'll use SQL, Spark, and Airflow to process data, validate pipelines, and collaborate with analysts. Ideal for students with SQL and Python experience looking to gain hands-on data engineering skills in a real-world fintech environment.
What you would actually do
- Build and maintain data pipelines for analytics and compliance reporting
- Use SQL, Spark, and Airflow to process and validate data
- Collaborate with analysts and engineers on data quality and pipeline improvements
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 21 minutes of being posted
- Last seen listed
- Application page
- linkedin.com (Easy Apply)
InternDoor has recorded 3 engineering postings from Fam in India since Aug 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to Fam’s page instead of a dead end.
How to apply
Internships in India often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.