Senior Data Platform Support Engineer -GCP Certified

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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.

What you’ll bring:

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.

This is a hands-on operational support role, not a service engineering or product development role. The primary focus is day-to-day platform administration, user onboarding, compute services administration & support, workspace and project setup, incident investigation, cost monitoring, access support, and operational issue resolution for data science and analytics users.

The successful candidate should have strong GCP operational knowledge, good Linux and system administration experience, experience supporting data and analytics platforms and relevant tools and services, ability to work with Data Science, Data Engineering, DevOps, Infrastructure, and L3 engineering teams.

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.

Key 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

Skills & Experience:

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, platform configuration and operational troubleshooting

Experience with incident handling, ticket management, escalation, root-cause investigation and support documentation

Linux administration (RHEL) and good scripting skills (bash or python)

Ability to debug issues methodically and provide clear evidence for L3 or engineering escalation

Experience with cloud cost monitoring, resource usage reporting, cost dashboards or FinOps processes is desirable

Experience with administration of data platform technologies such as Spark, Hive, Airflow/Cloud Composer, Cloud Run, Dataproc, BigQuery or GCS

Strong communication, documentation and problem-solving skills

What You'll Bring:

Desirable:

Experience with Harness.io

Experience administering or supporting Data Science services such as JupyterLab, POSIT Workbench/RStudio, Hadoop is desirable

Exposure to CI/CD or IaC tools such as Git, Harness, Terraform, Jenkins or similar is desirable

Exposure to container services such as GKE, Artifact Registry is desirable

Familiarity with MAPR Data Fabric or similar distributed data platforms is desirable

Experience with Python for scripting or operational automation

TransUnion – a place to grow:

Impact You'll Make:

We’re looking for a GCP Certified Engineer with hands-on GCP support experience to work as an L2 Support Engineer — this is strictly a support role (not build/infrastructure).

Must-have experience:

GCP Certified with strong support exposure

Hands-on support for GCP services such as BigQuery, GKE, Pub/Sub, Cloud Logging/Monitoring

Proven experience in L2 production support & incident management

Strong troubleshooting skills in live, high-volume environments

Candidates with pure infra/build backgrounds (without support experience) may not be a fit.

If you’ve worked on stabilizing and supporting GCP platforms at scale, we’d love to connect.

We know that it’s unrealistic to expect candidates to have each and every aspect of the essential and/or desirable skills listed above – if there’s something you can’t tick off right now – good, you can learn here!

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.

TransUnion Job Title

Sr Engineer, Data Analysis