Senior Data Engineer

Cognite
Bengaluru
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Ownership","Problem-solving","Collaboration","Code review","Knowledge sharing"]

Design and implement scalable data engineering solutions on Cognite Data Fusion®, enabling customers to deploy and optimize industrial digital solutions. Build integrations, extractions, data models, and analysis using Cognite connectors, SQL, Python/Java, and REST APIs. Create custom data models for discovery, mapping, and cleansing, lead code reviews, and support customers and partners with data engineering tasks while contributing to Cognite tools and SDKs.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Cognite
Cognite
1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 41 minutes agoStatus: Live

Job Summary

Design and implement scalable data engineering solutions on Cognite Data Fusion®, enabling customers to deploy and optimize industrial digital solutions. Build integrations, extractions, data models, and analysis using Cognite connectors, SQL, Python/Java, and REST APIs. Create custom data models for discovery, mapping, and cleansing, lead code reviews, and support customers and partners with data engineering tasks while contributing to Cognite tools and SDKs.
Location: Bengaluru
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead the design and implementation of scalable data engineering solutions using Cognite Data Fusion®.
  • •Drive integrations, extractions, data modeling, and analysis using Cognite connectors, SQL, Python/Java, and REST APIs.
  • •Create custom data models to support data discovery, mapping, and cleansing.
  • •Collaborate with data scientists, project managers, and solution architects to deliver customer projects.
  • •Conduct code reviews, apply best practices, and support customers and partners with data engineering tasks and deliveries.

Key Requirements

  • •Bachelor’s or Master’s degree in computer science or similar (relevant experience may compensate).
  • •8+ years of experience in a customer-facing data engineering role.
  • •Experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
  • •Experience with distributed computing (e.g., Kubernetes) and managed cloud services such as GCP and/or Azure.
  • •DevOps mindset with experience using Git and CI/CD across deployment environments.
Experience:8+ yearsIndustrial digitalizationOil and gasManufacturing
Education:
Skills:OwnershipProblem-solvingCollaborationCode reviewKnowledge sharing
Languages:English
Tech Stack:Cognite Data FusionCognite data connectorsSQLPythonJavaREST APIsKubernetesGCPAzureGitCI/CDData modelingSDKs

Company Brief

Cognite
Provides industrial data software that helps companies connect, contextualize, and use operational data for analytics, AI, and digital transformation. Its platform is used by heavy-industry customers to improve asset performance and operations.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Oslo, Norway
Founded: 2016
WebsiteLinkedIn