Job Description: Department Overview The Analytics Data Engineering Department (ADED) is a team that drives Rakuten’s vision of becoming a data-driven membership company. The team is responsible for the end-to-end development and operation of data analytics platforms, as well as
ポジション概要: APJにおけるPatient Insightsの高度化を目的として、Patient Ladder、Real World Data（RWD）をはじめとするPatient関連データの統合・モデリング・活用基盤構築をリードするData Engineeringポジションです。 本ポジションでは、Snowflakeを中心としたクラウドデータ基盤上で、Fivetranによるデータ連携、dbtによるデータ変換・モデリングを実装し、Patient Insightsおよび将来的なAI/Analytics活用を支えるデータ基盤を構築します。 APJ Transformationでは、Patient/HCP/Commercialデータに加えてRWD・EMRなどを統合し、Snowflake上にAI-readyなデータ基盤を構築します。 主な職務内容 1. Patient Data Integration · Patient Ladder、RWD、EMR、CRM、Patient Support System ,Market Research等のデータの統合 · 各CRM Data SourceからSnowflakeへのデータPipelineの設計・開発 · データソース間のMapping、標準化、データ品質管理 · APJ各Market・Business Functionと連携したデータ要件の整理 2. Snowflake Data Platform Engineering · Snowflakeを利用したData Warehouse / Data Martの設計・開発 ·
ポジション概要: APJにおけるPatient Insightsの高度化を目的として、Patient Ladder、Real World Data（RWD）をはじめとするPatient関連データの統合・モデリング・活用基盤構築をリードするData Engineeringポジションです。 本ポジションでは、Snowflakeを中心としたクラウドデータ基盤上で、Fivetranによるデータ連携、dbtによるデータ変換・モデリングを実装し、Patient Insightsおよび将来的なAI/Analytics活用を支えるデータ基盤を構築します。 APJ Transformationでは、Patient/HCP/Commercialデータに加えてRWD・EMRなどを統合し、Snowflake上にAI-readyなデータ基盤を構築します。 主な職務内容 1. Patient Data Integration · Patient Ladder、RWD、EMR、CRM、Patient Support System ,Market Research等のデータの統合 · 各CRM Data SourceからSnowflakeへのデータPipelineの設計・開発 · データソース間のMapping、標準化、データ品質管理 · APJ各Market・Business Functionと連携したデータ要件の整理 2. Snowflake Data Platform Engineering · Snowflakeを利用したData Warehouse / Data Martの設計・開発 ·
ポジション概要: APJにおけるPatient Insightsの高度化を目的として、Patient Ladder、Real World Data（RWD）をはじめとするPatient関連データの統合・モデリング・活用基盤構築をリードするData Engineeringポジションです。 本ポジションでは、Snowflakeを中心としたクラウドデータ基盤上で、Fivetranによるデータ連携、dbtによるデータ変換・モデリングを実装し、Patient Insightsおよび将来的なAI/Analytics活用を支えるデータ基盤を構築します。 APJ Transformationでは、Patient/HCP/Commercialデータに加えてRWD・EMRなどを統合し、Snowflake上にAI-readyなデータ基盤を構築します。 主な職務内容 1. Patient Data Integration · Patient Ladder、RWD、EMR、CRM、Patient Support System ,Market Research等のデータの統合 · 各CRM Data SourceからSnowflakeへのデータPipelineの設計・開発 · データソース間のMapping、標準化、データ品質管理 · APJ各Market・Business Functionと連携したデータ要件の整理 2. Snowflake Data Platform Engineering · Snowflakeを利用したData Warehouse / Data Martの設計・開発 ·
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in cloud computing, technical business engineering, or software engineering with cloud-native architectures. 2 years of experience managing a software engineering, FDE,
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