Data Engineer – Supply Chain

An AI-powered platform transforming enterprise planning for global leaders like Coca-Cola, Toyota, and Keurig Dr Pepper. Our Digital Brain platform—powered by neurosymbolic AI agents and Enterprise Knowledge Graph—delivers 10x improvements in decision-making speed, reducing manual interventions by up to 90%.

As Supply Chain Data Engineer, you’ll design and build the data foundation enabling AI-powered planning on the platform. You’ll integrate disparate systems (SAP, Oracle, legacy databases) into unified data models, build real-time streaming pipelines, ensure data quality and governance, and support AI/ML model deployment. Your work enables executives to make million-dollar decisions with confidence.

• 3+ years data engineering with supply chain systems. SQL/Python proficiency. ETL/ELT pipeline development (Informatica, Talend, or custom). Cloud platform experience (AWS, Azure, GCP). Data warehouse design (Snowflake, Redshift, BigQuery). API integration and microservices. Data quality and governance frameworks. Understanding of ERP/planning systems.

• Real-time streaming (Kafka, Kinesis). dbt or similar transformation tools. Supply chain domain expertise. Spark/Databricks. Docker/Kubernetes. Terraform/IaC.

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Data Engineer – Supply Chain

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