Added
1 day ago
Type
Full time
Salary
Salary not provided

Related skills

azure java sql python kubernetes
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๐Ÿ“‹ Description

  • Lead the design and implementation of scalable and efficient data engineering solutions using our
  • Drive and manage integrations, extractions, data modeling, and analysis using Cognite data
  • Create custom data models for data discovery, mapping, and cleansing.
  • Collaborate with data scientists, project managers and solution architects engineers on project
  • Conduct code reviews and implement best practices to ensure high-quality and maintainable code and
  • Support customers and partners in conducting data engineering tasks with Cognite products.

๐ŸŽฏ Requirements

  • Bachelor or Master degree in computer science or similar. Relevant experience can compensate for
  • Minimum 8+ years of experience in a customer-facing Data intense role
  • Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
  • Experience with distributed computing such as Kubernetes and managed cloud services such as GCP
  • Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a
  • Have a DevOps mindset, and experience with Git, CI/CD, deployment environments

๐ŸŽ Benefits

  • Impact 2025 and Cognite in the industrial AI space
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