社名
社名非公開
職種
アクセス解析、統計解析、データ分析、データアナリスト
業務内容
・Build and optimize ELT/ETL pipelines using Azure Data Factory and Databricks, focusing on scheduling, cost management, and performance.・Design data models and semantic layers for Power BI/AI while maintaining data lineage and governance standards.・Manage data integration from SAP and other sources, ensuring quality through rigorous validation and reconciliation.・Maintain system reliability through robust observability, incident response, and SLA management.
...
求められる経験
・Experience & Operations: 3+ years in data engineering, specifically building production-grade pipelines with full-cycle ownership, including monitoring, incident response, and SLA management.
・Technical Core: Strong proficiency in SQL and Python, combined with extensive experience in the Azure Data Platform (Azure Data Factory) and Spark/Databricks for orchestration and distributed processing.
・Data Modeling & Analytics: Expertise in dimensional modeling (star/snowflake) and creating curated, semantic-ready datasets to support Power BI reporting and AI/ML initiatives.
・Communication: Bilingual (Japanese/English) fluency, with the ability to bridge technical data definitions with business KPIs and metrics.
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600 ~ 1,000万円
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
アクセス解析、統計解析、データ分析、データアナリスト
業務内容
・Build and optimize ELT/ETL pipelines using Azure Data Factory and Databricks, focusing on scheduling, cost management, and performance.・Design data models and semantic layers for Power BI/AI while maintaining data lineage and governance standards.・Manage data integration from SAP and other sources, ensuring quality through rigorous validation and reconciliation.・Maintain system reliability through robust observability, incident response, and SLA management.
求められる経験
・Experience & Operations: 3+ years in data engineering, specifically building production-grade pipelines with full-cycle ownership, including monitoring, incident response, and SLA management.
・Technical Core: Strong proficiency in SQL and Python, combined with extensive experience in the Azure Data Platform (Azure Data Factory) and Spark/Databricks for orchestration and distributed processing.
・Data Modeling & Analytics: Expertise in dimensional modeling (star/snowflake) and creating curated, semantic-ready datasets to support Power BI reporting and AI/ML initiatives.
...
・Communication: Bilingual (Japanese/English) fluency, with the ability to bridge technical data definitions with business KPIs and metrics.
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600 ~ 1,000万円
賞与
Yes
雇用期間
期間の定めなし
show more