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Metro location and notable consultancy brand but specialized GCP skillset limits applicant density.
Core GCP data engineering skills are broadly transferable across industries.
Explicit 8–12 years requirement plus mandatory GCP components and data engineering experience.
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Lead design and implementation of data engineering solutions on Google Cloud Platform (GCP) including storage, transformation, event processing, APIs, and security.
Own development and deployment of GCP components such as GCS, BigQuery, AirFlow, Cloud SQL, PubSub/Kafka, DataFlow, and utilize Google Cloud SDK.
Communicate and present technical solutions effectively to diverse stakeholders within a large, complex, and geographically dispersed program.
8 to 12 years of relevant experience in data engineering or cloud solution design.
Strong expertise with Google Cloud Platform components: GCS, BigQuery, AirFlow, Cloud SQL, PubSub/Kafka, DataFlow, and Google Cloud SDK.
Solid data management background including data storage, transformation, event processing, APIs, IAM, and security.
GCP certification is a plus but not mandatory.
Experienced in large-scale, complex, and geographically distributed program environments.
Technical leader capable of designing scalable, secure data engineering solutions specifically on GCP.
Familiarity with analytics solutions (ML/AI & BI) as related to data engineering, though not in a data scientist capacity.