Job opening - (Professional Contract) Cloud Data Engineer / SRE in 東京23区 | Randstad

summary

東京23区, 東京都
¥7,000,000 - ¥9,000,000 per year, 年収700 ～ 900万円
contract

job category
information technology

job details

社名
社名非公開

職種
データサイエンティスト

業務内容
WFH flexibility!
Global Environment!
Competitive salary!

求められる経験
Key Qualifications:
• 3+ years of experience in an SRE role or similar position.
• Strong experience in creating and managing data projects, with a focus on ETL Processes and Data Lake / Data Factories management. ...

• Strong experience in deploying, managing, and monitoring Azure Cloud environments, particularly with data management tools.
• Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Cosmos DB, and related data technologies.
• Proficiency in Infrastructure as Code (IaC) practices (e.g., Terraform, Azure Resource Manager, or Azure Bicep).

Skills:
•Proficient with Azure monitoring tools (Azure Monitor, Log Analytics, Application Insights).
•Strong experience in building CI/CD pipelines using tools like Azure DevOps or Jenkins.
•Solid understanding of containers (Docker, Kubernetes) and serverless computing (Azure Functions).
•Knowledge of scripting languages such as PowerShell, Python, or Bash.

Preferred Qualifications:
•Experience with distributed systems and large-scale data architecture.
•Familiarity with microservices and event-driven architectures.
•Experience with SQL and NoSQL databases.
•Knowledge of cost optimization strategies in Azure environments

保険
健康保険　厚生年金保険　雇用保険

休日休暇
土曜日　日曜日　祝日

給与
年収700 ～ 900万円

賞与
-
雇用期間
期間の定めなし

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社名
社名非公開

職種
データサイエンティスト

業務内容
WFH flexibility!
Global Environment!
Competitive salary!

求められる経験
Key Qualifications:
• 3+ years of experience in an SRE role or similar position.
• Strong experience in creating and managing data projects, with a focus on ETL Processes and Data Lake / Data Factories management.
• Strong experience in deploying, managing, and monitoring Azure Cloud environments, particularly with data management tools.
• Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Cosmos DB, and related data technologies.
• Proficiency in Infrastructure as Code (IaC) practices (e.g., Terraform, Azure Resource Manager, or Azure Bicep).

Skills:
•Proficient with Azure monitoring tools (Azure Monitor, Log Analytics, Application Insights).
•Strong experience in building CI/CD pipelines using tools like Azure DevOps or Jenkins.
•Solid understanding of containers (Docker, Kubernetes) and serverless computing (Azure Functions).
•Knowledge of scripting languages such as PowerShell, Python, or Bash.

Preferred Qualifications:
•Experience with distributed systems and large-scale data architecture. ...

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experience
Key Qualifications: • 3+ years of experience in an SRE role or similar position. • Strong experience

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