Data Engineer
株式会社FLINTERS
- Python
- AWS
- GCP
- SQL
- Data Analysis
- Terraform
- CI/CD
- MySQL
- BigQuery
- PostgreSQL
- Datadog
- Google Cloud
- Slack
- Data Engineering
- Snowflake
- DWH
- Data management
- Confluence
- DynamoDB
- Gitlab
- Scala
- Jira
- Agile
- Infrastructure as Code
- dbt
- RDB
- Miro
- CDP
- Digdag
- Data Pipeline
- GitHub Copilot
- AWS CDK
- Mackerel
- DMBOK
- TreasureData
- Data model design
- IntelliJ IDEA
- Trino
- data monitoring
- MacBook Pro
- Separation processing system
- Development and operation of cloud services such as AWS and Google Cloud
- Cloud-native Data Services
- Platform Tuning
- DataDog Cloud Logging
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¥4,500,000 - 8,000,000
-
Tokyo
-
11 to 100
Company Info
Development of large-scale data infrastructure in the digital marketing domain. Organizing data engineering and incorporating the latest technologies such as AI to provide the best methods for customer issue resolution and updates.Job Summary
In charge of acquiring the latest AI technology, as well as designing, building, implementing, and operating DWH and data pipeline infrastructure, Infrastructure as Code, and CI/CD automation. Also responsible for data monitoring and operation, platform tuning, and various data management tasks. Utilizing languages such as SQL (Snowflake, trino, BigQuery), Scala, Python, and cloud platforms like AWS, Google Cloud, and monitoring tools like DataDog Cloud Logging, Mackerel, etc.Duties
Primarily responsible for the development of large-scale data infrastructure in the digital marketing domain. In terms of specific job content, it includes designing, building, implementing, and operating DWH and data pipeline infrastructure, Infrastructure as Code, and CI/CD automation. Also responsible for data monitoring and operation, platform tuning, and various data management tasks. Additionally, using languages such as SQL (Snowflake, trino, BigQuery), Scala, Python, and cloud platforms like AWS, Google Cloud for development.Login to see all information about offers.
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