Data Engineer
Data Engineering
- LocationHyderabad, Telangana, India
- TypeFull-time
- ExperienceNot stated
- SalaryNot disclosed
Scala, Spark, AWS Emr, Apache Iceberg, Java, SQL, Spring Boot, AWS, Terraform, CI/CD, Linux, Git
Overview
This role involves building and refining data pipelines using Spark and Scala, with a focus on large-scale data processing and performance optimization. It suits students with strong technical backgrounds in data engineering and cloud technologies.
Summarised by InternDoor from UST’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.
Responsibilities
- Develop and optimize data pipelines using Spark and Scala
- Work with AWS services like EMR, S3, and Glue Data Catalog
- Collaborate on large-scale data processing and performance tuning
Requirements
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How to apply
- Check what they ask for. Read the requirements above.
- 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 UST’s careers site. The application is on usource.ripplehire.com, 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 10 minutes of being posted
- Last checked
- : the posting was still in LinkedIn’s search results. We have not checked its application page.
- Application deadline
- UST has not stated one
- Leaves InternDoor
- By , our 30-day limit for LinkedIn listings, or sooner if the application closes
- Application page
- usource.ripplehire.com
What we checked, and what the dates mean
The date this listing leaves InternDoor is our own rule, not a deadline set by UST. Postings can close earlier, at any time.
InternDoor has recorded 51 engineering postings from UST in India since Sept 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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