社名
社名非公開
職種
ITプロジェクトマネージャー
業務内容
...
Architecture & InfrastructurePlatform Design: Architect and implement scalable, production-grade data platform components using AWS, Databricks, and modern data stack patterns.IaC Management: Develop and maintain Infrastructure as Code (IaC) to ensure environment standardization, reproducibility, and automation.Data Engineering & OperationsPipeline Leadership: Lead the development of critical data pipelines, ensuring they adhere to strict security, reliability, and performance standards.Large-Scale Processing: Design complex transformation workflows capable of handling massive datasets with maximum efficiency.Observability: Implement advanced monitoring and observability solutions across the entire data ecosystem to ensure platform health and visibility.Compliance & GovernanceSystems Integrity: Ensure all data components meet organizational requirements for segregation of duties and rigorous data governance.
求められる経験
Education: Master’s degree in Computer Science, Data Engineering, or a related technical field.
Programming: Expert-level proficiency in Python (preferred), Scala, or Java.
Cloud & Infrastructure: * Deep expertise in AWS (preferred) and cloud platforms.
Advanced Infrastructure as Code (IaC) skills using Terraform and AWS CDK.
Data Engineering & Processing: * Specialization in Spark and distributed computing.
Extensive experience with Lakehouse architecture and columnar formats (Parquet, Delta, ORC).
Warehousing & Modeling: * Mastery of modern SQL Warehouses (specifically Databricks, Snowflake, or BigQuery).
Proficient in DBT (Data Build Tool) and advanced data modeling methodologies.
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1,000 ~ 1,500万円
賞与
Yes
雇用期間
期間の定めなし
show more
社名
社名非公開
職種
ITプロジェクトマネージャー
業務内容
Architecture & InfrastructurePlatform Design: Architect and implement scalable, production-grade data platform components using AWS, Databricks, and modern data stack patterns.IaC Management: Develop and maintain Infrastructure as Code (IaC) to ensure environment standardization, reproducibility, and automation.Data Engineering & OperationsPipeline Leadership: Lead the development of critical data pipelines, ensuring they adhere to strict security, reliability, and performance standards.Large-Scale Processing: Design complex transformation workflows capable of handling massive datasets with maximum efficiency.Observability: Implement advanced monitoring and observability solutions across the entire data ecosystem to ensure platform health and visibility.Compliance & GovernanceSystems Integrity: Ensure all data components meet organizational requirements for segregation of duties and rigorous data governance.
求められる経験
Education: Master’s degree in Computer Science, Data Engineering, or a related technical field.
Programming: Expert-level proficiency in Python (preferred), Scala, or Java.
...
Cloud & Infrastructure: * Deep expertise in AWS (preferred) and cloud platforms.
Advanced Infrastructure as Code (IaC) skills using Terraform and AWS CDK.
Data Engineering & Processing: * Specialization in Spark and distributed computing.
Extensive experience with Lakehouse architecture and columnar formats (Parquet, Delta, ORC).
Warehousing & Modeling: * Mastery of modern SQL Warehouses (specifically Databricks, Snowflake, or BigQuery).
Proficient in DBT (Data Build Tool) and advanced data modeling methodologies.
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1,000 ~ 1,500万円
賞与
Yes
雇用期間
期間の定めなし
show more