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Cognite

Industrial data platform with AI

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMalaysiaNo salary listedIn-person

About the Job

Requirements

  • Minimum 5+ years of experience in a customer-facing data-intensive role.
  • Experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
  • Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure.
  • Experience with Git, continuous integration and continuous delivery, and deployment environments.
  • A bachelor's or master's degree in computer science or a similar field, although relevant experience can compensate for formal education.
  • Ability to independently investigate and solve problems.

Responsibilities

  • Lead the design and implementation of scalable and efficient data engineering solutions using the Cognite Data Fusion platform.
  • Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python or Java, and REST APIs.
  • Create custom data models for data discovery, mapping, and cleansing.
  • Collaborate with data scientists, project managers, and solution architects on project deliveries to enable customers to use the industrial DataOps platform effectively.
  • Conduct code reviews and implement best practices to ensure high-quality, maintainable code and deliveries.
  • Support customers and partners in conducting data engineering tasks with Cognite products.
  • Contribute to the development of Cognite's official tools and software development kits.
  • Collaborate with Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

Desired Qualifications

  • Domain experience or knowledge of data sources within the oil and gas and manufacturing industries.
  • Enjoy working in cross-functional teams.
  • Humility to ask for help and enjoyment of sharing knowledge with others.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size
501-1,000
Company stage
Acquired
Total funding
$225.3M
Headquarters
Tempe, AZ
Founded
2016

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