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Data Engineer

セーフィー株式会社

  • Python
  • SQL
  • Data Analysis
  • GitHub
  • Terraform
  • Tableau
  • Slack
  • ETL
  • Snowflake
  • Redshift
  • Notion
  • dbt
  • GoogleWorkspace
  • system construction
  • ELT
  • Data Engineer
  • AWS Glue
  • Amazon AppFlow

Company Info

Safie is engaged in the development and operation of cloud storage type video platform. We are developing a cloud storage platform and providing related services, and advancing the organization of a dedicated team to strengthen security.

Job Summary

As a data engineer, you will be responsible for building and linking the data analysis foundation, such as technical investigation, design, construction, operation, and linking with internal cloud services such as Salesforce, and various business tasks such as linking with various cloud services such as Salesforce. Python, SQL, AWS Glue, Redshift, etc. will be used to contribute to the construction and improvement of data analysis infrastructure.

Duties

As a data engineer, you will be responsible for building the data analysis foundation. Specific work content includes technical investigation, design, construction, operation, and various business tasks such as linking with various cloud services such as Salesforce, and linking with data analysis infrastructure and various business tasks such as linking with various cloud services such as Salesforce, and providing stable analysis reports by linking with data analysis infrastructure and various business tasks such as linking with various cloud services such as Salesforce. In addition, powerful work such as building the data analysis foundation for the collection and utilization of data, contributing to the improvement of applications and business, and taking the lead in the construction of the data analysis foundation on the development front can be done. As a development tool, Python, SQL, AWS Glue, Redshift, Tableau, Terraform, etc. will be used. As a qualification, it is necessary to have more than 2 years of experience in data analysis and utilization, more than 1 year of experience in data extraction and collection using SQL, more than 1 year of experience in using DWH products such as Redshift, Snowflake, etc., and more than 1 year of experience in development using programming languages such as Python, Java, JavaScript, etc., and more than 1 year of experience in using public cloud services such as AWS, GCP, Azure.

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Data Engineer

セーフィー株式会社

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