Sr Engineer, Data Engineering
TransUnion (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and optimize enterprise-scale data platforms and scalable batch/streaming pipelines on Google Cloud Platform (GCP).
- Lead cloud workload optimization including right-sizing resources, tuning BigQuery and Spark workloads, and establishing SLIs/SLOs for data platform performance.
- Develop and enforce cloud cost management and governance frameworks including tagging standards, cost analytics, FinOps practices, and stakeholder collaboration for cost-benefit analysis.
Minimum Requirements
- 5-8 years of experience in Data Engineering, Cloud Engineering, or Cloud Architecture.
- Minimum 3+ years of hands-on experience with Google Cloud Platform data engineering services.
- Strong technical expertise in GCP data services including BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and infrastructure services like GKE and Compute Engine.
- Role is hybrid requiring minimum 2 days per week in assigned TransUnion office location.
Ideal Candidate Profile
- Experienced in enterprise-scale cloud-native data platform design and optimization with measurable cost savings achievements.
- Strong FinOps and cloud cost governance practitioner familiar with budgets, forecasting, and cost allocation in large cloud environments.
- Collaborative with cross-functional teams including engineering, architecture, finance, and leadership to drive cloud adoption and operational efficiency.