Lead design and implement scalable data engineering on Cognite Data Fusion.
Drive integrations, data modeling, and analysis with Cognite connectors, SQL, Python, REST APIs.
Create custom data models for discovery, mapping, and cleansing.
Collaborate with data scientists, PMs, and solution architects to deliver projects.
Conduct code reviews and promote best practices for maintainable code.
Support customers and partners with Cognite data engineering tasks.

🎯 Requirements

Bachelor or Master in computer science or related field.
8+ years in a customer-facing data-intensive role.
Production-grade data pipelines with Python, SQL, REST APIs.
Experience with Kubernetes and cloud services (GCP and/or Azure).
DevOps mindset with Git and CI/CD.
Able to independently investigate and solve problems.

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