Data Engineer
Data pipeline engineer
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 role involves building and maintaining data pipelines using PySpark and Spark for large-scale data operations. You will work on both batch and streaming jobs, manage data quality checks, and collaborate on schema creation. The position requires experience with Spark, SQL, and job scheduling tools, and is ideal for someone interested in data engineering with a focus on enterprise systems.
What you would actually do
- Design and maintain PySpark data pipelines for batch and streaming workloads
- Monitor Spark jobs and handle alerts for data quality and system failures
- Work with Oracle, Hadoop, and Kafka in a full SDLC environment
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 35 minutes of being posted
- Last seen listed
- Application page
- ad.doubleclick.net
InternDoor has recorded 36 engineering postings from Citi 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 Citi’s page instead of a dead end.
How to apply
Entry-level roles 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, so check it before you apply.
