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.

Requirements

 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.