データエンジニア/ Senior Data Engineer

Cognite
Japan
Full timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Stakeholder management","Requirement negotiation","Ownership","Quality mindset"]

Define data queries with subject matter experts, then build and customize custom extractors and ingestion pipelines using Python, Spark, SQL, Kafka, and REST APIs. Deploy solutions with Docker and design data models for discovery, mapping, and cleansing in Cognite Data Fusion. Prototype dashboards and ensure quality standards (CI/CD, logging, security) while translating customer needs into future product capabilities and advising customers and partners.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Cognite
Cognite
1 week ago

データエンジニア/ Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 43 minutes agoStatus: Live

Job Summary

Define data queries with subject matter experts, then build and customize custom extractors and ingestion pipelines using Python, Spark, SQL, Kafka, and REST APIs. Deploy solutions with Docker and design data models for discovery, mapping, and cleansing in Cognite Data Fusion. Prototype dashboards and ensure quality standards (CI/CD, logging, security) while translating customer needs into future product capabilities and advising customers and partners.
Location: Japan
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Define queries with subject matter experts based on client requirements.
  • •Develop custom extractors and data ingestion/processing scripts using backend technologies (Python, Spark, REST APIs, SQL) and event streaming (Kafka).
  • •Customize extractors (e.g., database extractors with SQL, event streaming) and deploy solutions with Docker.
  • •Create data models for discovery, mapping, and cleansing, and model/contextualize data within Cognite Data Fusion (graph/relational).
  • •Design technical solutions and integrations using Cognite data connectors, SQL, Python/Java, and REST APIs; ensure quality standards (CI/CD, logging, security) and define operational responsibilities/support agreements.

Pay and Benefits

Perks:401kHealth InsuranceDentalVisionDisability InsurancePaid LeaveParental LeaveMeal AllowanceGym Membership

Key Requirements

  • •Knowledge, aptitude, and passion for data engineering and AI technology.
  • •English proficiency for reading/writing, and proactive verbal communication.
  • •Professional coding experience in Python.
  • •Strong communication skills with customers and internal team members.
  • •Bachelor’s degree required (Master’s preferred).
Experience:AIData engineeringSaaSIndustrial digitalization
Education:Bachelor's
Skills:CommunicationStakeholder managementRequirement negotiationOwnershipQuality mindset
Languages:English日本語
Tech Stack:PythonSparkREST APISQLKafkaDockerPower BIGrafanaPlotly DashDatabricksAzureGCPAWSCognite Data FusionCognite data connectorsJavaGitCI/CDIDP

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