Role and responsibilities
- Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion.
- Drive integrations, data modeling, and analysis using Cognite data connectors and SQL, Python/Java, and Rest APIs.
- Develop custom data models for discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers, and solution architects to deliver projects.
- Conduct code reviews, implement best practices for high-quality, maintainable code.
- Support customers and partners with data engineering tasks using Cognite products.
- Work with Engineering and Product Management teams to prioritize customer needs into product offerings.
We believe most of these should match your experience
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Experience of 3-5 years in a customer-facing Data intense role
- Experience delivering production-grade data pipelines using Python, SQL and Rest APIs is a must
- Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
- Humility to ask for help and enjoy sharing knowledge with others

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