Data Engineer


  • Python
  • SQL
  • Javascript
  • Treasure Data
  • GCP
  • AWS
  • Linux
  • Jupyter notebook
  • CDP
  • DMP
  • DWH
  • Redshift
  • BigQuery
  • PostgreSQL
  • Git
  • Tableau
  • PowerBI
  • LookerStudio
  • GoogleAnalytics
  • AdobeAnalytics
  • Marketo
  • Salesforce
  • ⁨¥⁩⁨5,000,000⁩ - ⁨7,560,000⁩
  • Tokyo
  • IT
  • 1,001 to 10,000
  • Home Page

Company Info

Parse & Technology Co., Ltd. provides big data infrastructure construction, data infrastructure construction, and data utilization support services for clients. We conduct data extraction requirements for analysis of client companies, construction of data infrastructure, analysis tool and BI integration, and other related tasks.

Job Summary

In the position, you will be responsible for tasks such as data infrastructure construction (CDP, DMP, DWH), design and programming of intermediate tables (using SQL, etc.). You will utilize data bases such as Python, SQL, JavaScript, Treasure Data, Redshift, BigQuery, PostgreSQL, etc., and be involved in data infrastructure construction.


As a data engineer, you will be responsible for integrating various customer data and designing data platforms. Specific tasks include the integration of data platforms, construction of data infrastructure (CDP, DMP, DWH), and data analysis tool and BI integration (using SQL, etc.). You will also use Python, SQL, JavaScript, and development environments such as Treasure Data, GCP, AWS, Linux, Jupyter Notebook, and BI tools such as Tableau, PowerBI, LookerStudio.


Experience in system development around data bases, experience in data base construction (AWS, GCP, etc.), and experience in project management (specification definition, customer negotiation, project promotion, etc.) are all welcome.

Welcomed Skills

Experience in data infrastructure construction and SQL, Python, R development, and experience in machine learning models are also welcome.

*Data presented in this article may be outdated. If you notice a discrepancy in our data, please notify us on our contact page, here following this link.

Data Engineer


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