Develop Cognite Data Fusion - a robust, state-of-the-art SaaS for industrial data
Create ETL applications that onboard data from various source system (SAP, OPC-UA, PI, cloud databases, file storages) into Cognite Data Fusion
Build scalable ETL tools in Python, together with talented colleagues that love to build reliable integrations
Integrate with Cognite s graph database technology that bases on PostgreSQL and Elasticsearch
Bring data into our industrial knowledge graph, realizing Cognite s vision of a safer and more efficient industrial future
Work with customer facing teams to ensure a delightful data onboarding experience, and enable our users to solve complex real-world problems that have yet to be solved before
Collaborate with stakeholders and great colleagues that are subject matter experts on industrial data and various source systems
Be actively involved in product and technical decisions
We believe most of these should match your experience
Solid experience with building ETL applications using Python, or another backend language with a strong motivation to learn Python
Understanding of modern database technologies, particularly PostgreSQL
Proven experience writing integrations between systems or in the ETL space. Preferably experience with source systems such as PI, OPC-UA, WITSML, IP21, SAP or file storages such as Sharepoint, Documentum, AzureBlobStorage
Passion for graph processing, databases, performance engineering, or distributed systems
Broad experience with DevOps practices such as CI/CD and Infrastructure as code
Strong troubleshooting and problem-solving skills; ability to track down information in logs, traces, and metrics and take appropriate action based on findings
Solid understanding of monitoring tools such as Prometheus and Grafana
Comfortable working with Open-Source community - request features, fix issues
Excellent communication and collaboration skills
Additional experience that is an advantage, but not required
Experience with large Cloud deployments on any of AWS, GCP, or Azure; build, test, deploy, and monitor software in a multi-cloud Kubernetes environment
Broad experience with DevOps practices such as CI/CD and Infrastructure as code
Solid understanding of monitoring tools such as Prometheus and Grafana
Previous experience using FastAPI to build Python Web APIs
