Senior GCP Support Engineer | Looker | Big Query | Data Analytics (TSR

Tata Consultancy Services; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Chennai is seeking an experienced GCP/Looker support professional to troubleshoot Looker and GCP Data Analytics services, manage incidents, and monitor platform health. You will collaborate with engineering teams to implement fixes, deployments, and platform improvements.

The role requires 6–8 years in GCP-focused production support with hands-on Looker expertise and strong scripting skills in Python, SQL, and Shell.

Qualifications

• 6 to 8 years of experience in GCP support, cloud operations, or production support environments.
• Hands-on expertise in Looker Studio, Looker Original, Looker Pro, and Looker Cloud with strong troubleshooting capabilities.
• Strong exposure to BigQuery, Cloud Storage, Composer (Airflow), Dataflow, and Pub/Sub services.
• Proven experience in managing and resolving production incidents, service disruptions, data pipeline failures, latency issues, and quota-related challenges.
• Good understanding of IAM, VPC, networking concepts, storage services, project setup, and security best practices within GCP.
• Experience using Cloud Logging, Cloud Monitoring, and observability tools for issue detection, diagnosis, and performance monitoring.
• Strong scripting and automation skills using Python, SQL, and Shell Scripting.
• Familiarity with Git, CI/CD pipelines, Infrastructure as Code (IaC), and DevOps practices.
• Ability to perform Root Cause Analysis (RCA) and implement preventive measures to improve platform reliability.
• Experience supporting customer-facing environments with excellent troubleshooting and communication skills.
• Strong stakeholder management skills with the ability to explain technical issues to both technical and non-technical audiences.
• Exposure to cloud infrastructure provisioning, configuration, and decommissioning activities.
• Preferred candidates will have experience in L2/L3 Support, Cloud Operations, SRE, Data Platform Support, or Cloud Support Engineering roles.

Responsibilities

• Support and troubleshoot Looker and GCP Data Analytics services.
• Manage production incidents, RCA, and stakeholder communication.
• Monitor platform health using Cloud Monitoring and Logging.
• Resolve data pipeline, performance, and quota-related issues.
• Administer IAM, VPC, Storage, and GCP projects.
• Automate operational tasks using Python, SQL, and Shell scripting.
• Collaborate with engineering teams on fixes, deployments, and platform improvements.
• Provide L2/L3 support for cloud infrastructure and analytics workloads.

Skills

Looker Studio

Looker Original

Looker Pro

Looker Cloud

BigQuery

Cloud Storage

Composer

Dataflow

Pub/Sub

IAM

VPC

Networking

Security

Cloud Logging

Cloud Monitoring

Observability

Python

SQL

Shell

Git

CI/CD

IaC

DevOps

RCA

Stakeholder mgmt

Tools

Git

CI/CD

IaC

Job description

Role & responsibilities

• Support and troubleshoot Looker and GCP Data Analytics services.
• Manage production incidents, RCA, and stakeholder communication.
• Monitor platform health using Cloud Monitoring and Logging.
• Resolve data pipeline, performance, and quota-related issues.
• Administer IAM, VPC, Storage, and GCP projects.
• Automate operational tasks using Python, SQL, and Shell scripting.
• Collaborate with engineering teams on fixes, deployments, and platform improvements.
• Provide L2/L3 support for cloud infrastructure and analytics workloads.

Preferred candidate profile

• 6 to 8 years of experience in Google Cloud Platform (GCP) support, cloud operations, or production support environments.
• Hands-on expertise in Looker Studio, Looker Original, Looker Pro, and Looker Cloud with strong troubleshooting capabilities.
• Strong exposure to Big Query, Cloud Storage, Composer (Airflow), Dataflow, and Pub/Sub services.
• Proven experience in managing and resolving production incidents, service disruptions, data pipeline failures, latency issues, and quota-related challenges.
• Good understanding of IAM, VPC, networking concepts, storage services, project setup, and security best practices within GCP.
• Experience using Cloud Logging, Cloud Monitoring, and observability tools for issue detection, diagnosis, and performance monitoring.
• Strong scripting and automation skills using Python, SQL, and Shell Scripting.
• Familiarity with Git, CI/CD pipelines, Infrastructure as Code (IaC), and DevOps practices.
• Ability to perform Root Cause Analysis (RCA) and implement preventive measures to improve platform reliability.
• Experience supporting customer-facing environments with excellent troubleshooting and communication skills.
• Strong stakeholder management skills with the ability to explain technical issues to both technical and non-technical audiences.
• Exposure to cloud infrastructure provisioning, configuration, and decommissioning activities.
• Preferred candidates will have experience in L2/L3 Support, Cloud Operations, SRE, Data Platform Support, or Cloud Support Engineering roles.