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Team Overview
The Argus Data Engineering Team, part of the Global Technology (GT) organization, is responsible for designing, developing, maintaining, and supporting enterprise-grade data pipelines and data products that power critical business functions across the Argus organization. The team plays a key role in enabling data-driven decision making by delivering scalable, reliable, and high-quality data solutions that support teams such as Enterprise Data Management (EDM), Account Performance Management (APM), Data Science, Analytics, and other business stakeholders. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities
This role exists to support the growing demand for scalable, secure, and productive data engineering solutions across the Argus organization. As data continues to be a strategic asset,



this position is critical in building and maintaining data platforms and pipelines that enable analytics, reporting, machine learning, and business intelligence initiatives.
Business Outcomes Driven by this Role
Deliver reliable and scalable data pipelines that support business-critical reporting, analytics, and data science initiatives.
Improve data availability, accuracy, and quality across multiple Argus platforms and products.
Enable faster time-to-insight for business and technology stakeholders through efficient data processing and delivery.
Support cloud modernization and migration efforts by leveraging AWS and GCP cloud-native technologies.
Reduce operational overhead through automation, monitoring, and optimization of data workflows.
Core Responsibilities
Design, develop, and maintain robust data pipelines using Python, SQL, and cloud-native technologies.
Build and support data engineering solutions for cross-functional teams including EDM, APM, Data Sci

📌 Data Engineer (Bengaluru)
🏢 TransUnion
📍 Bengaluru