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Solution Architect designing end-to-end industrial AI and data solutions using Cognite Data Fusion. The role involves technical consulting, data modeling, and integration design using Python, SQL, and cloud platforms (AWS/GCP/Azure) to solve complex problems for heavy asset industries.
Software Engineer building serverless execution engines and workflow orchestration for an industrial AI platform. Responsibilities include designing REST/event-driven APIs, ensuring scalability across multi-cloud environments (Azure, GCP, AWS), and implementing observability using Open-telemetry. Core stack: Kotlin, Python, Kubernetes, and Kafka.
Data Engineer II at Cognite designs and builds scalable data pipelines, integrations, and data models on the Cognite Data Fusion industrial DataOps platform, serving customers in Oil & Gas, Power & Utilities, Energy, and Manufacturing. Core stack: Python, SQL, Java, REST APIs, Kubernetes, GCP/Azure, and Git/CI-CD.
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