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能享有更多通路優惠與回饋！ 開發重點： - 持續維護與開發 Data Pipline，完善 Data Warehouse - 設計出高效能與高擴展的 Data Warehouse，確保資料的正確性與一致性 - 將舊有 Python 資料管道遷移至 dbt 框架 - 基於 Data Vault 2.0 設計高效能

標，並識別運用數據發掘新見解、提升業務成果的機會。 5. 建立儀表板與數據視覺化工具，以進行分析與溝通。 6. 根據業務需求建立數據管道（Data Pipeline），並透過這些指標進行優化。 7. 建立與整合 API。

We are looking for a savvy Data Engineer with technical backgrounds in data system and platform development. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. If you want to join a world-class development team of LINE, we look forward to hearing from you soon! Responsibilities Develop and enhance data pipeline architecture specifically for Taiwan, ensuring seamless integrat

這過程中從整合跨雲異質數據源，到建置能萃取使用者洞察的數據儀表板（Dashboard），再到能改善體驗的機器學習應用，都是我們將會遇到的挑戰。我們期待您的加入！ 【職務內容】 1. 開發、維護並監控Data Pipeline

大規模數據處理工作，享受直接影響業務成果的成就感 Project: rewards and finance-related Responsibilities Build a universal data platform, meet real-time/offline computing and storage requirements; Define the data pipeline scheme according to the demand scenarios, and deliver it by multiple methods based on various infrastructure; Enhance the data platform, improve the stability and flexibility of data asset, and optimize the resource efficien

- Set up and execute extract, transformation, and load (ETL) functions to build a data pipeline. - Extraction and analysis of large data sets from MySQL. - Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized. - Delivering clear analysis and reporting of core business metrics to shareholders. - Creation and management of reports and dashboards. - Data management. - Enhance and optimize existing reporting processes. - Ad hoc a

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience coding in one or more programming languages like Python, C/C++, Java, Go, Unix/Linux systems. 1 year of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration, and implementation using internal (e.g., Flume, etc.) and external stacks (e.g., DataFlow, Spark, etc.). Experience working with data models

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management or related technical role. 2 years of experience taking technical products from conception to launch. Preferred qualifications: Experience in data centers and Cloud infrastructure. Experience in workflow engines, ETL and data pipelines or enterprise logging infrastructure. Knowledge of designing and building large-scale distributed workflow and orchestration systems. About th

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in working with data infrastructure and data models by performing exploratory queries and scripts. 10 years of experience in designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks. 5 years of experience with coding in one or more programming languages, and in a people management, supervision, or team le

Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience coding in one or more programming languages. 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (e.g., DataFlow, Spark, etc.). 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.