Role & responsibilities

- Provide L2/L3 technical support for Google Cloud Data Analytics platforms including BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, and Looker.

- Troubleshoot complex production issues, perform root cause analysis (RCA), and implement preventive actions.

- Monitor cloud environments using Cloud Logging, Cloud Monitoring, and tracing tools to ensure platform reliability and performance.

- Diagnose and resolve data pipeline failures, latency issues, quota limitations, and data processing bottlenecks.

- Support incident management activities, including triage, resolution, stakeholder communication, and post-incident reviews.

- Optimize BigQuery workloads through query tuning, partitioning, clustering, and performance best practices.

- Collaborate with engineering and customer teams to reproduce issues, validate fixes, and ensure successful deployments.

- Manage GCP services related to IAM, VPC, storage, networking, and project configuration.

- Develop and use Python, SQL, and Shell scripts for automation, troubleshooting, and operational efficiency.

- Document troubleshooting procedures, workarounds, knowledge articles, and RCA reports while supporting 24x7 cloud operations in rotational shifts.

Preferred candidate profile





- 4 to 7 years of experience in Google Cloud Platform (GCP) with strong expertise in BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, and Looker/Looker Studio.

- Hands-on experience in Production Support, Incident Management, Troubleshooting, and Root Cause Analysis (RCA) for large-scale cloud environments.

- Solid knowledge of BigQuery performance tuning, query optimization, partitioning, clustering, and workload management.

- Experience in troubleshooting and monitoring complex data pipelines, distributed systems, and cloud-native applications.

- Proficient in Python, SQL, Shell Scripting, and automation for operational excellence.

- Good understanding of IAM, VPC, Networking, Storage, Quotas, and GCP Project Administration.

- Experience with Cloud Logging, Cloud Monitoring, Cloud Trace, and observability best practices.

- Familiarity with CI/CD pipelines, Git, Infrastructure as Code (IaC), and cloud deployment practices.

- Excellent communication skills with the ability to interact with global customers and explain technical issues to both technical and non-technical stakeholders.

- Willingness to work in 24x7 rotational shifts and manage high-priority production incidents effectively.

📌 Senior GCP Data Analytics Support Engineer | BigQuery | Dataflow | Loo (Chennai)
🏢 Tata Consultancy Services
📍 Chennai