Data Engineer
Cognite - AI for Industry8 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and implement scalable data engineering solutions using Cognite Data Fusion.
- Manage integrations, data extraction, 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 apply engineering best practices.
- Support customers and partners with data engineering tasks using Cognite products.
- Contribute to Cognite’s official tools and SDKs.
- Work with Engineering and Product Management to prioritize customer-driven product offerings.
Requirements
- Bachelor’s or master’s degree in computer science or a similar field, or relevant experience in place of formal education.
- At least 3 years of experience in a customer-facing, data-intensive role.
- Experience delivering production-grade data pipelines with Python, SQL, and REST APIs.
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP or Azure.
- Experience with Git, CI/CD, and deployment environments.
- Oil and gas or manufacturing data-source domain experience is preferred.
- Ability to investigate and solve problems independently and collaborate cross-functionally.
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.