GCP Platform Engineer (ID 1394)

• Support production of GCP data pipelines and workflows across batch and streaming workloads.

• Troubleshoot failures, data latency, performance and configuration issues.

• Work with Cloud Spanner, BigQuery, Dataflow, Pub/Sub and related GCP services.

• Optimize existing pipelines to improve data refresh times and reliability.

• Support platform/configuration upgrades and ensure environments remain compliant.

• Work with Data Engineering, BI and application teams on production issues and enhancements.

• Quickly understand existing systems and make practical improvements.

• 3–7 years of Data/Cloud Engineering experience with hands-on GCP.

• Strong SQL and Python skills.

• Experience with Spanner, BigQuery and batch/streaming pipelines.

• Good understanding of GCP IAM, monitoring, logging and production support.

• Strong troubleshooting mindset and ability to ramp up quickly in a complex environment.

• Exposure to Tableau/Looker, App Engine or AI/LLM applications is a plus.