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Team Overview
• We are seeking a highly skilled Cloud Data Engineer with solid 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 ov

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