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Data Engineer

ちゅらデータ株式会社

  • AWS
  • Python
  • GCP
  • Azure
  • Terraform
  • JAVA
  • BigQuery
  • Github Actions
  • Tableau
  • Snowflake

As a data engineer (middle), you will be responsible for setting up data pipelines that analyze data in a cloud-based environment that has been digitized in a data system that has been digitized in a data system, and processing large amounts of log data in a distributed computing environment, and extensive work is available. Experience in languages such as Python, Java, and Scala and experience in software development and operation are required. In addition, experience in utilizing cloud-based platforms such as Kubernetes and networking foundations are also required.

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Business Designer for AI/Data Science Field

東日本電信電話株式会社

  • AWS
  • AI
  • GCP
  • Azure
  • IoT
  • Data Analysis
  • Cloud
  • Data Science
  • 5G
  • IOWN

From AI/data utilization to solving regional issues, a wide range of business operations that contribute to regional revitalization, such as creating new regional procurement models and analyzing various data for DX transformation, are required.

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Data Engineer

ちゅらデータ株式会社

  • Terraform
  • BigQuery
  • Github Actions
  • Tableau
  • Security
  • Snowflake
  • BI
  • CloudFormation
  • Jenkins
  • Spark

As a data engineer (engineer), extensive knowledge and practical experience related to networking, security, and DB are required. In addition, experience in understanding and implementing appropriate engineering for customers and handling various data processing products and BI products is welcome. Furthermore, experience in team development and agile development methods, as well as experience in information processing technology exams and qualifications, is required.

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Data engineer

株式会社レアジョブテクノロジーズ

  • AWS
  • Python
  • GCP
  • TypeScript
  • Machine Learning
  • Terraform
  • Go
  • Data Analysis
  • BigQuery
  • Google Cloud

As a data engineer, you will need to develop and utilize data ETL pipelines, design and build data lakes/data warehouses, and automate infrastructure, and have experience with AWS/GCP cloud system design and development.

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