Senior Data Engineer

Overview

Senior Data Engineer to lead the design and implementation of scalable data engineering solutions on Cognite Data Fusion, working on industrial data for Power & Utilities, Energy and Manufacturing customers.

What you'll do

• Lead the design and implementation of scalable and efficient data engineering solutions using Cognite Data Fusion.
• Drive and manage integrations, extractions, data modeling and analysis using Cognite data connectors and 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 project deliveries to enable customers to achieve the full potential of the industrial dataops platform.
• Conduct code reviews and implement best practices to ensure high-quality and 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 SDKs.
• Collaborate with Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

What you'll need

• Bachelor or Master degree in computer science or similar; relevant experience can compensate for formal education.
• 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 and/or Azure.
• DevOps mindset, with experience with Git, CI/CD and deployment environments.
• Enjoys working in cross-functional teams.
• Able to independently investigate and solve problems.
• Humility to ask for help and enjoys sharing knowledge with others.

Nice to have

• Domain experience/knowledge of data sources within the oil and gas and manufacturing industries.

Details

• Location: Bengaluru, India.