Java Developer – Apache Spark | 6+ Years | Immediate Joiners | Any UST Location
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 role involves building and optimizing data processing systems using Apache Spark and Java. Ideal for candidates with strong experience in large-scale data engineering and a passion for performance tuning. The work is technical and impactful, with opportunities to contribute to real-world data solutions.
What you would actually do
- Develop and optimize large-scale data processing pipelines using Apache Spark
- Work with Java, Spring Boot, and REST APIs in a production environment
- Collaborate with cross-functional teams on data engineering projects
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 60 minutes of being posted
- Last seen listed
- Application page
- linkedin.com (Easy Apply)
InternDoor has recorded 7 engineering postings from UST in India since Sept 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 UST’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 — check it before you apply.