Senior Data Engineer
Cognite - AI for Industry2 months ago
Malaysia (city not specified)Senior
Responsibilities
- Lead the design and implementation of scalable data engineering solutions using Cognite Data Fusion.
- Drive integrations, data extractions, data modeling, and analysis using Cognite data connectors, SQL, Python, Java, and REST APIs.
- Create custom data models for data discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers, and solution architects on customer project deliveries.
- Conduct code reviews and implement best practices for high-quality, maintainable code and deliveries.
- Support customers and partners with data engineering tasks using Cognite products.
- Contribute to Cognite’s official tools and SDKs.
- Collaborate with Engineering and Product Management to turn customer needs into a prioritized product-offering pipeline.
Requirements
- Bachelor’s or master’s degree in computer science or a similar field, with relevant experience accepted in place of formal education.
- 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 and deployment environments, along with a DevOps mindset.
- Domain experience with data sources in the oil and gas or manufacturing industries is a plus.
- Ability to work cross-functionally, independently investigate and solve problems, ask for help, and share knowledge.
Categories
Data Engineering
About Cognite - AI for Industry
Cognite builds an industrial data and AI platform used by energy, manufacturing, and power & utilities companies to integrate OT/IT data and deploy AI at scale. Its flagship product, Cognite Data Fusion, is sold as enterprise SaaS with services for implementation and Industrial AI agents. Founded in 2016 and privately held, the company focuses on asset-intensive operations and Industrial DataOps.