Senior Data Engineer
Cognite - AI for Industry8 days ago
Bengaluru, IndiaSenior
Responsibilities
- Lead the design and implementation of scalable data engineering solutions using Cognite Data Fusion.
- Drive integrations, data extraction, data modeling, and analysis using Cognite connectors, SQL, Python, Java, and REST APIs.
- Create custom data models for data discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers, solution architects, engineering teams, and product management on customer deliveries and product priorities.
- Conduct code reviews and implement best practices for maintainable code and high-quality deliveries.
- Support customers and partners with data engineering tasks using Cognite products.
- Contribute to Cognite’s official tools and SDKs.
Requirements
- Bachelor’s or master’s degree in computer science or a similar field, with relevant experience accepted in place of formal education.
- At least 8 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 or Azure.
- Experience with Git, CI/CD, and deployment environments.
- Experience or knowledge of oil and gas or manufacturing data sources is a plus.
- Ability to independently investigate and solve problems and collaborate effectively in cross-functional teams.
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.