Senior GCP Data Analytics Support Engineer | BigQuery | Dataflow | Loo

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.
• Strong 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.