Uses publisher and bookstore logistics and sales data to develop book-demand forecasts, recommendations, and inventory and delivery optimization. The role spans generative-AI data enrichment through model deployment and operation in products.
About this role
This role is a data platform engineering position within the AI Supply Chain Solutions division. The team develops data foundations for publishing distribution, supporting data use across web applications, planning systems and machine-learning initiatives. The work contributes to systems that collect, organize and provide data for stakeholders across the publishing supply chain.
The engineer will design and implement renewals of existing systems and extend the platform for new customers and initiatives. The stack includes GCP services such as BigQuery, AlloyDB, Composer, Cloud Run, Cloud Scheduler, Google Compute Engine and Cloud Storage. Development uses Python and TypeScript, with Airflow through Composer, dbt, Dagster, LightGBM, React Router, Hono and FastAPI. Infrastructure and delivery tools include Terraform, Ansible, GitHub Actions and Cloud Build.
The position spans infrastructure, application and business layers.
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