Big Data + GCP Engineer

Unisys • IT Infrastructure & Networking Services • IT Help Desk & Service Desk • Python • Java • SQL • Perl • 2 days ago

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Salary

≈ $23k – $46k per year (Estimated)

Location

In office (Gurgaon)

Experience

6+ years exp

First seen by Alion on Oct 23, 2026. Unisys scores B on the Alion truth index.

Overview

Company

Impact

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Unisys

Unisys is an American information technology company formed in 1986 by the merger of Burroughs and Sperry, two of the earliest computer manufacturers, and it still supports the ClearPath mainframe line descended from those machines. Its modern business is built around digital workplace services, cloud and infrastructure management, application modernisation and a logistics software business, sold largely to government agencies, banks, airlines and transport operators that run long-lived critical systems. Headquartered in Blue Bell, Pennsylvania and listed on the New York Stock Exchange, it carries a substantial legacy pension obligation alongside its services operations.

unisys.com • HQ: Blue Bell, United States • IT Consulting & Digital Transformation • IT Infrastructure & Networking Services • IT Help Desk & Service Desk • Systems Integrators • 1001-5000 employees • Est. 1986

Tech stack of Unisys

Backed by Oak Investment Partners

We are looking for energetic, high-performing, and highly skilled Big Data + GCP Design, develop, and deploy scalable applications on the Google Cloud Platform using Java 8 and above and Big Data technologies. In-depth understanding of Google Cloud Platform services and architecture.

Requirements:

Strong programming knowledge in Pyspark, Data processing.
Hands-on experience in Big Data technologies (Spark, Hive, MapReduce, and Hbase).
Understanding and experience with UNIX / Shell / Perl / Python scripting.
Proficiency in developing and deploying applications on GCP using services such as Compute Engine, App Engine, Cloud Functions, BigQuery, Cloud SQL, DataProc, DataFlow etc.
Database query optimization and indexing, relational databases (PostgreSQL / MySQL / DB2 etc), GKE (Google Kubernetes Engine), and experience in FastAPI.

Skills

gcp, google cloud platform, hadoop, hive, java, mapreduce, pyspark, python, spark

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