Senior Data Platform Support Engineer -GCP Certified

Responsibilities

• Provide L2 operational support for a proprietary cloud data & analytics platform built on GCP
• Administer platform workspaces & compute, user onboarding, access & role management, project setup and general platform configuration
• Support Data Science and Analytics users with issues relating to compute, storage, access, workspaces, data availability, cost management and platform usage
• Manage and troubleshoot GCP access issues including IAM, service accounts, groups, roles and bucket permissions
• Support GCP operational administration across projects, compute, storage, networking, logging and monitoring in collaboration with the DevOps teams
• Monitor cloud resource usage and support FinOps activities including cost tracking, configure/customize cost dashboards and resource usage reporting
• Use Harness.io and other internal tools to support operational processes, reporting and platform visibility; assist engineering teams with CICD setup
• Debug and resolve user and platform issues, collecting logs, error messages, screenshots, configuration details and other evidence for L3 escalation where required
• Support platform deployments (performed by DevOps) and changes where required, working with DevOps, Infrastructure and Engineering teams
• Understand the GCP services, configurations & setup for the relevant analytics services and participate in impact assessment prior to new platform version deployments
• Monitor production analytics services using Cloud Logging, Cloud Monitoring, alerts and internal support tools
• Work directly with Data Engineering, Data Science, Platform, DevOps and Infrastructure teams to resolve incidents and improve platform reliability
• Contribute to runbooks, support procedures, incident workflows and continuous improvement of platform operations
• Provide support for the existing on-premise analytics platform including assisting the platform engineers with patching/upgrades of key services and handling user support requests.
• Participate in on-call rota for client-facing platform services, providing L2 incident triage / issue resolution, initial investigation, stakeholder updates, evidence gathering and escalation to L3/platform engineering teams where required

Requirements

• We are looking for a Senior Data Platform Support Engineer to support and administer a proprietary data platform built on Google Cloud Platform as part of the wider Data Engineering & Analytics team. You will be based at our India office (Pune) and work in a hybrid model.
• The role will be focused on supporting the cloud platform with secondary responsibilities to participate and support existing on-premises analytics platform which uses similar tools and services as the cloud platform.
• Required:
• 7+ years of experience in Platform Support, Cloud Support, DevOps Support, Infrastructure Support or Data Platform Operations
• Hands-on GCP operational experience across compute, storage, IAM, networking, logging and monitoring
• Required: GCP Associate Cloud Engineer certification
• Experience supporting data, analytics or data science platforms in a production environment
• Strong understanding of GCP projects, IAM, service accounts, permissions, VPC administration, GCS buckets and cloud resource administration
• Experience supporting users with access, compute issues, data access,

Additional Information

TransUnion's Job Applicant Privacy Notice What We'll Bring: What we'll bring: About TransUnion: TransUnion is a global information and insights company which provides solutions that help create economic opportunity, great experiences, and personal empowerment for hundreds of millions of people in more than 30 countries. We call this Information for Good®. TransUnion is a leading credit reference agency, and we offer specialist services in fraud, identity, and risk management, automated decisioning and demographics. We support organizations across a wide variety of sectors including finance, retail, telecommunications, utilities, gaming, government, and insurance. Our Data Engineering & Analytics practice enables Data Analytics driven culture across the organization. It's a fast-growing practice which has functions including Data Engineering, Data Architecture, Data Visualization, Data COE & ML Engineering.

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