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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information Management曾任
Senior Data Analyst @趨勢科技2022 ~ 现在
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
輔仁大學 Fu Jen Catholic University
・
統計資訊學系就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
University of Texas at Dallas
・
Information Technology and Management
資料工程師 @鴻海（富士康）2021 ~ 现在
・
資料工程師/網路爬蟲、後端工程師、軟體工程師、網管
一個月內
Uvicorn, Gunicorn 開發RESTful API 及設計 MongoDB schema並使用 Docker-compose 進行開發與部署- 負責開發資料庫 Connector 操作頁面(支援 Impala, Kudu, PostgreSQL, MySQL, MS SQL, Oracle)、 Record Controller 功能、平台 Pipeline 中檢視資料的視覺化功能，以及熟悉 Nifi 各種Processor 功能加入系統中 - 協助用戶建置及改善 ETL Pipeline 效能 Line Notify 服務系統： - 設計系統
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立成功大學
・
統計研究所
曾任
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
一個月內
size:GB Number of rows: 6,268,519,176 Qudowe Project Lead & Software Engineer Product of Pixnet Travel Hackathon 2019, a trip planner based on Instagram's data Work Experience Vpon, Data Engineer Aug 2018 ~ Oct 2020 Implement Akka-http(Scala) server endpoints for Vpon Data Platform Product Create new ETL pipelines using GCP Spark(Apache Spark) and GCP Dataflow(Apache Beam) to batch input/output hundreds of files Migrate existing ETL pipelines from AWS(Hive SQL) to GCP(BigQuery SQL) using python Migrate datawarehouse from AWS(Hive) to GCP(BigQuery) Setup Prometheus on GKE (Google Kubernetes Engine) to
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
・
電機工程學系
Data engineer @H2 Inc.2021 ~ 现在
・
AI engineer, ML engineer, data scientist
三個月內
助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度 - 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management 【Airflow 定期排程以及維運 data reports】 - 創建 2 個 ETL pipeline - 幫助 3 個不同部門維護 8 個 data reports - 利用 python 去處理並且整合 SQL, Google big query, AWS S3 bucket 不同來源的 data source 【Data analysis】 - 根據各部門所需提
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
清華大學
・
動力機械工程學系
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
兩個月內
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
University of Pennsylvania
・
Economics
Senior Data Engineer @Larsen Toubro Infotech Mindtree2021 ~ 现在
・
Senior Cloud Consultant
半年內
load for a particular site level. Have been using Data lake, Azure SQL Database, Azure Databricks, Azure Synapse Analytics as intermediate layer for data storage and end products involving Facts and Dimensions that can be further consumed by Azure Analysis Services. Worked on writing SQL Logic that involves pipeline re-run process so that pipeline can be re-run from the same watermark point as it was failed to avoid data loss. Also worked on Logic App to ingest the data from SQL Database into Sharepoint List on the basis of Row Active flag. Cloud Consultant
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Dehradun Institute Of Technology
・
B.E Information Technology
Architect Lead @iKala 愛卡拉互動媒體股份有限公司2023 ~ 现在
・
軟體工程師
一個月內
Chart, Terraform, ArgoCD, Gitlab CI - Workflow: Argo Workflow Key Roles and Achievements: - iKala Interactive Media Inc.: - Served as an Architect, designing cross-team interfaces and leading AI department design documentation efforts. - As a Senior Backend Engineer, refactored crawler services, developed the Datahub system, and led ML Inference and ETL pipeline integration projects. - Lintor International Co., Ltd.: - Led the design and implementation of 33 games, demonstrating leadership in game logic system development. - Developed a Golang server framework and implemented microservices to enhance system functionality. - CHUNG YO INTERNET INFORMATION CO., LTD.: - Maintained platform
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
逢甲大學
・
資訊工程學系, 資訊安全學位
Data Science @Alfred Labs.2017 ~ 现在
・
兩個月內
Yoyo Lu, Data Analyst professional [email protected] Resourceful Data Analyst and Programmer with 5+ years of experience at Alfred Labs. Strong background in Mathematics and Computer Science. Adept at providing crucial analysis to cooperating teams. WORK EXPERIENCE Alfred Labs., Data Science, Jul 2017 ~ Present As an early employee of the company, I played a pivotal role in the development of our data infrastructure. This included the creation of robust ETL pipelines and automated dashboards, key advancements that enabled the entire organization to make data-driven decisions. My expertise in designing
4 到 6 年
University of Taipei
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Computer Science最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
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Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
一年內
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology 台灣美光
・
2021 ~ 现在
专业背景
目前状态
就职中
求职阶段
专业
半导体工程师, 数据科学家, 数据工程师
产业
半导体, 大数据
工作年资
2 到 4 年
管理经历
无
技能
语言能力
English
・
专业
Japanese
・
初阶
求职偏好
希望获得的职位
軟體工程師、影像處理工程師、AI處理工程師、演算法工程師
预期工作模式
全职
期望的工作地点
Hsinchu, 新竹市台灣, Taichung, 台灣
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立台灣大學（National Taiwan University）
主修科系
CHING-SHUN CHAN
Senior Global DRAM QRA Data Analytics Engineer
With three+ years of semiconductor industry experience in the world's third-largest DRAM company, I have expertise in data science and analytics in FE and BE manufacturing including quality and reliability monitoring. I took the initiative to develop many innovative data analytic tools and reports for yield and quality enhancement and cooperated with international teams by providing insightful and complicated analyses precisely and timely, achieving the best quality awards recognized by our critical customers.
Taichung City, Taiwan
Experience
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology Taiwan • JUL 2021 - Present
Focus on Big Data Analytics, Algorithms, and Analytic Tool development, monitoring the quality and reliability of critical products for the world's third-largest DRAM manufacturer.
- Take initiative to propose and develop tools for quality and yield enhancement.
- Developed an effective algorithm to detect quality and reliability issues. One submitted paper was selected and recommended in an internal technical forum.
- Built a Spark-based data tool to reduce analysis time from hours to 10 minutes.
- Reduced the 99% execution time of existing analytical tools from 2.5 hours to only one minute with computer science knowledge.
- Solve quality and reliability issues via cross-national data communications.
- Handle Big Data to provide complicated data analytics in a timely manner for large events with a business impact of hundreds of millions USD.
- Create web-based interactive reports for smooth data communication.
Test Data Science Engineer
Micron Technology Taiwan • AUG 2018 - JUN 2021
- Built multiple ETL pipelines to transform IC test data (in plain text) into structured data for further deep business analysis.
- Developed a pipeline framework for team use that expedites data collection four times faster than the traditional way.
- Created many yield, quality, and operation monitor reports.
- Took initiative to explore innovative methodologies for yield enhancement and scrap reduction.
- Developed an interactive web report for test log viewing, integrating multiple data sources into an organized page for comprehensive data insights. Introduced to more than 35 internal teams, greatly simplifying engineers' workflow and reducing issue investigation time from days to minutes.
- Developed an algorithm for critical parts issue detection. For a particular manufacturing process, this algorithm enhances a 6% yield and reduces 80% of issues for these parts. It also promotes the collaboration of hardware development and repair teams to build a robust procedure for parts inspection and repair.
Education
2016 - 2018
National Taiwan University
Master of Engineering: Fluid Mechanics
2012 - 2016
National Taiwan University
Bachelor of Science: Engineering Science and Ocean Engineering
Honors and Awards
2021
Micron Technology Taiwan
Global Assembly & Test Seminar Forth Place Poster
Skill Highlights
Programming Languages
- Python
- C++
- R
- SQL
- HTML/CSS/JavaScript
Industrial Knowledge
- Semiconductor product/manufacturing
- Quality and Reliability Engineering
- Data structures and Algorithms
- Data Mining
- Statistics
Web Development
Tools
- Airflow
- GCP
- Hadoop Ecosystem
- JMP/Tableau
- Jupyter Lab
- Postgre SQL/SQL Server/Snowflake
- RabbitMQ
CHING-SHUN CHAN
Senior Global DRAM QRA Data Analytics Engineer
With three+ years of semiconductor industry experience in the world's third-largest DRAM company, I have expertise in data science and analytics in FE and BE manufacturing including quality and reliability monitoring. I took the initiative to develop many innovative data analytic tools and reports for yield and quality enhancement and cooperated with international teams by providing insightful and complicated analyses precisely and timely, achieving the best quality awards recognized by our critical customers.
Taichung City, Taiwan
Experience
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology Taiwan • JUL 2021 - Present
Focus on Big Data Analytics, Algorithms, and Analytic Tool development, monitoring the quality and reliability of critical products for the world's third-largest DRAM manufacturer.
- Take initiative to propose and develop tools for quality and yield enhancement.
- Developed an effective algorithm to detect quality and reliability issues. One submitted paper was selected and recommended in an internal technical forum.
- Built a Spark-based data tool to reduce analysis time from hours to 10 minutes.
- Reduced the 99% execution time of existing analytical tools from 2.5 hours to only one minute with computer science knowledge.
- Solve quality and reliability issues via cross-national data communications.
- Handle Big Data to provide complicated data analytics in a timely manner for large events with a business impact of hundreds of millions USD.
- Create web-based interactive reports for smooth data communication.
Test Data Science Engineer
Micron Technology Taiwan • AUG 2018 - JUN 2021
- Built multiple ETL pipelines to transform IC test data (in plain text) into structured data for further deep business analysis.
- Developed a pipeline framework for team use that expedites data collection four times faster than the traditional way.
- Created many yield, quality, and operation monitor reports.
- Took initiative to explore innovative methodologies for yield enhancement and scrap reduction.
- Developed an interactive web report for test log viewing, integrating multiple data sources into an organized page for comprehensive data insights. Introduced to more than 35 internal teams, greatly simplifying engineers' workflow and reducing issue investigation time from days to minutes.
- Developed an algorithm for critical parts issue detection. For a particular manufacturing process, this algorithm enhances a 6% yield and reduces 80% of issues for these parts. It also promotes the collaboration of hardware development and repair teams to build a robust procedure for parts inspection and repair.
Education
2016 - 2018
National Taiwan University
Master of Engineering: Fluid Mechanics
2012 - 2016
National Taiwan University
Bachelor of Science: Engineering Science and Ocean Engineering
Honors and Awards
2021
Micron Technology Taiwan
Global Assembly & Test Seminar Forth Place Poster
Skill Highlights
Programming Languages
- Python
- C++
- R
- SQL
- HTML/CSS/JavaScript
Industrial Knowledge
- Semiconductor product/manufacturing
- Quality and Reliability Engineering
- Data structures and Algorithms
- Data Mining
- Statistics
Web Development
Tools
- Airflow
- GCP
- Hadoop Ecosystem
- JMP/Tableau
- Jupyter Lab
- Postgre SQL/SQL Server/Snowflake
- RabbitMQ