Role Overview
We need a GCP Cloud Data Engineer and having Generative AI experience to build production-grade pipelines. You will connect and work with data engineering, Data science with generative AI solutions using the Google Cloud Platform ecosystem.
Key Responsibilities
GenAI: Develop solutions for data augmentation, summarization, and visual storytelling.
Pipelines: Build scalable ML architectures using BigQuery, Vertex AI, and Dataflow.
DevOps: Integrate machine learning models into production with platform teams.
Data Visuals: Create interactive, compelling charts using traditional and GenAI tools.
Support: Act as a technical liaison to solve customer data problems.
Liaison: Communicate technical needs clearly to various business stakeholders.
Required Qualifications
GCP: Hands-on experience or a professional GCP certification.
Services: Strong operational knowledge of Dataproc, GKE, Vertex AI and Composer.
Security: Deep understanding of GCP IAM and GitHub workflows.
Communication: Excellent verbal and written skills for stakeholder interaction.
Having API development expertise is added advantage.

GCP Data Engineer

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