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Team Overview
• We are seeking a highly skilled Cloud Data Engineer with robust expertise in Google Cloud Platform (GCP) to join our Cloud Strategy team. The ideal candidate will have 5-8 years of experience designing, implementing, optimizing, and governing cloud-based data platforms and analytics workloads.
This role requires deep technical expertise in GCP Data Engineering services, cloud cost optimization, workload right-sizing, architecture design, resource tagging/governance, and FinOps practices. The candidate should be comfortable partnering with engineering, architecture, platform, and business teams to improve performance, scalability, reliability, and cloud cost efficiency. 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
ata Platform Architecture & Engineering
Design, implement, and optimize enterprise-scale data platforms on GCP.




Build scalable batch and streaming data pipelines.
Architect data ingestion, transformation, storage, and consumption solutions.
Evaluate and recommend the most appropriate GCP services for specific use cases.
Define standards and best practices for cloud-native data engineering.
GCP Workload Optimization
Analyze existing cloud workloads and identify optimization opportunities.
Recommend right-sizing strategies for compute, storage, and networking resources.
Improve resource utilization across data engineering platforms.
Optimize cluster sizing, auto-scaling policies, job scheduling, and resource allocation.
Reduce operational costs without impacting performance or reliability.
FinOps & Cloud Cost Management
Perform detailed cloud cost analysis and chargeback/showback reporting.
Establish cloud cost governance frameworks and optimization programs.
Identify idle, underutilized, and overprovisioned resources.
Develop c

📌 Sr Engineer, Data Engineering (Bengaluru)
🏢 TransUnion
📍 Bengaluru