| Job Title | Senior Data Platform Support Engineer – GCP Certified |
| Job Requisition ID | 19040599 |
| Company | TransUnion |
| Location | Pune, India |
| Work Mode | Hybrid (Minimum 2 days/week in office) |
| Employment Type | Full-Time |
| Posted On | Today |
| Application End Date | 3 July 2026 |
| Experience Required | 7+ Years |
| Primary Role | L2 Operational Support for GCP-based Data & Analytics Platform |
| Industry | Credit Information, Data Analytics & Cloud Platform Operations |
| Job Purpose | Provide operational support and administration for a proprietary GCP-based data platform, ensuring platform stability, user support, access management, incident resolution, and cost optimization. |
| Key Responsibilities | L2 production support; GCP platform administration; User onboarding & IAM management; Workspace/project setup; Compute & storage support; Incident investigation & troubleshooting; Cloud Logging & Monitoring; Cost monitoring (FinOps); CI/CD support with Harness.io; Deployment support; Runbook creation; On-call support; Collaboration with Data Engineering, Data Science, DevOps, Infrastructure & L3 teams; Support on-prem analytics platform. |
| Must-Have Skills | Google Cloud Platform (GCP); GCP Associate Cloud Engineer Certification; BigQuery; GKE; Pub/Sub; Cloud Logging; Cloud Monitoring; IAM; Service Accounts; VPC; GCS Buckets; Linux (RHEL); Bash/Python scripting; Incident Management; Production Support; Ticket Management; Root Cause Analysis; Documentation; Data Platform Operations. |
| Desirable Skills | Harness.io; JupyterLab; POSIT Workbench/RStudio; Hadoop; Git; Terraform; Jenkins; CI/CD; Infrastructure as Code (IaC); Cloud Composer (Airflow); Dataproc; Spark; Hive; Cloud Run; Artifact Registry; GKE; MAPR Data Fabric; Python Automation; FinOps. |
| Required Certification | Google Cloud Associate Cloud Engineer (Mandatory) |
| Required Experience | 7+ years in Platform Support, Cloud Support, DevOps Support, Infrastructure Support, or Data Platform Operations with strong L2 production support experience. |
| Preferred Background | Experience supporting production Data Science/Data Analytics platforms on GCP rather than pure infrastructure build or implementation roles. |
| Key Technologies | GCP, BigQuery, Dataproc, Cloud Composer, Spark, Hive, GCS, Cloud Run, GKE, Pub/Sub, Linux (RHEL), Python, Bash, Harness.io, Terraform, Jenkins, Git. |
| Soft Skills | Strong troubleshooting, analytical thinking, communication, documentation, stakeholder management, collaboration, problem-solving, and customer support orientation. |
| On-Call Requirement | Yes, participation in L2 production support on-call rotation. |
| Ideal Candidate Profile | GCP Certified professional with extensive hands-on L2 production support experience in cloud data platforms, capable of managing incidents, user support, access control, monitoring, and platform reliability in enterprise environments. |
