Data warehouse engineer
株式会社EPARKテクノロジーズ
- Python
- AWS
- GCP
- SQL
- MySQL
- Git
- BigQuery
- Redshift
- EC2
- Aurora
- Salesforce
- ETL Tool
- ETL tools
- GCE
- RESTAPI
- Marketo
- TableauServer
- DataSpiderServer
- CI environment
- window function
- window functions
- utilization of data warehouse function
-
Tokyo
-
11 to 100
Company Info
EPARK is Japan's largest waiting list / reservation reception service for restaurants, medical care, learning salon, pet salon, and other dozens of business types / business practices. We will provide development work such as increasing the number of introduced facilities, customer needs customization, and optimalization, and new service and function proposals.Job Summary
For the position to be recruited, the main job is DWH construction / operation for EPARK's in-house strategy, and data linkage work from various services. As specific work content, it includes data linkage with Redshift, Aurora (MySQL) operation / maintenance, Marketo, Salesforce, other DB (Aurora MySQL, etc.) linkage, EC2 (DataSpiderServer) operation / maintenance, BigQuery, GCE (TableauServer) operation / maintenance, product quality, performance improvement, new technology verification, and introduction of such as. In addition, knowledge and experience of DB design / implementation, SQL development, tuning experience, development, and operation improvement are required. In addition, there are experiences such as DB construction, development, operation experience in the cloud, ETL tool development, operation experience, linkage with other systems, and utilization of SQL development, operation experience.Duties
As a data warehouse engineer, you will be responsible for DWH construction / operation for EPARK's in-house strategy, and data linkage work from various services. As specific work content, it includes data linkage with Redshift, Aurora (MySQL) operation / maintenance, Marketo, Salesforce, other DB (Aurora MySQL, etc.) linkage, EC2 (DataSpiderServer) operation / maintenance, BigQuery, GCE (TableauServer) operation / maintenance, product quality, performance improvement, new technology verification, and introduction of such as. In addition, knowledge and experience of DB design / implementation, SQL development, tuning experience, development, and operation improvement are required. In addition, there are experiences such as DB construction, development, operation experience in the cloud, ETL tool development, operation experience, linkage with other systems, and utilization of SQL development, operation experience.Login to see all information about offers.
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