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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所
Sr. Backend Engineer @麻布數據科技股份有限公司2023 ~ Present
・
Software Engineer
Within one month
infrastructure as code 經驗: ‧ 使用 Terragrunt 和 Hashicorp 發布的 GitHub projects 管理 GCP infrastructure。 ‧若 Hashicorp 沒有相關的 resources 時，則參考 Terraform Google Cloud provider 文件，自行刻撰 module 並在 Terragrunt 中使用 。 5. Data Engineer 經驗: ‧架設 ClickHouse cluster multi-shards ，處理 1B+ 量級資料。 ‧dbt 開發 ， 遵循 best practice 建立 ELT pipeline ，將 data mart 提供給 BI 工具串接，改善 BI 報表查詢體驗。 Data
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立中央大學 National Central University
・
通訊工程系
Sr. Technical Product Manager @FunNow 曙客股份有限公司2022 ~ Present
・
專案經理、產品經理、系統分析師
Within one month
report across devices and channels that result in the conversion rate of new users increased by 20%. • Design and build various payment methods, label-based search, dynamic pricing via different sale channels, and user-preference recommendation engine to optimise user experience and to boost CVR. • Supervised the AsiaYo Data team, establishing a data pipeline by Airflow™, and building a report system on Tableau™, to accelerate decision-making process across BUs. • Initiated behaviour tracking on the supply-side behaviour of hotels, homestay owners and large-scale operators, analysed their inventory and price synchronisation rate, and proactively
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Southampton
・
Operational Research and FinanceData Scientist @Delta Electronics, Inc. (台達電子工業 股份有限公司)2023 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立交通大學（National Chiao Tung University, NCTU)
・
Computer/Information Technology Administration
Business Analyst @Vaco2023 ~ Present
・
Data Analyst, Business Intelligence, Languages
Within three months
analyze and interpret data, make me a valuable asset in any role. Work Experience Business Analyst • Vaco Currently working as a Business Analyst at Vaco, where I am responsible for analyzing business processes, identifying areas for improvement, and implementing solutions to drive operational efficiency and business growth. Manage data requests across multiple teams and clients Create and modulate data models and data lakes Build and maintain data pipelines to ensure data stays up-to-date Build and maintain reporting dashboards based on the needs from clients Build stories of a team's success with trend analysis with Operation
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yunlin University of Science and Technology
・
English, Second Language Acquisition, Linguistics
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Achieved a 78% reduction in data storage requirements and significantly accelerated query speeds from hours to minutes through the seamless integration of lakehouse and data platforms. • Consult for business process automation using data techniques on loan, credit analysis and procurement process. • Design solutions for data leakage prevention and data security. • Implement end-to-end generative AI solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
PsychologyTeam Lead/Senior Software Engineer @MEXC2022 ~ Present
・
Software Engineer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
Algorithm Engineer/ Data Scientist/ Sr. Project Management
More than one year
PySpark dataframe programming Recommendation algorithm design, improved and achieved the best performance at that tim e Various classification tasks User profile construction with NLP. Information retrieval based chat bot Data warehousing and ETL management (Febnow) I created some tools(e.g., airfly ) to help us management our data more efficiently. Based on PySpark Auto DAG generator : automatically resolve and build the task dependencies for our data pipeline Metadata management. More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc. BI platform development (AprilOctLeverage Google Dataproc to handle large scale
Full-time / Remote Only
4-6 years
Backend Developer @Dcard 狄卡科技2017 ~ Present
・
Backend Developer
Within one month
resources are in Github code management. Building the hiring process, start the engineer-level policy draft delivered by our CTO, interview assessment, and interview questions. Backend developer, Dcard, Jun– FebThe biggest social media app in Taiwan. ( App store ) This position works closely with the infrastructure team members, data scientists, and product managers. Dcard is the most popular social media app in Taiwan. Support data-team built data pipeline and data center for our home page recommendation system. Implemented dictionary compression utility for a high writing-load database with a 95% compression rate and 60
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
亞東技術學院
・
資訊管理
Data Engineer / Scientist @MediaTek Inc.2019 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
析 EDA tool 使用狀況， 降低 25% 採購成本 Data Engineer, 建立結構化資料和非結構化資料之 automating data pipelines 設計 PB-level 資料 ETL 流程並 引入 阿里巴巴 data warehouse 分層設計 建立資料品質 realtime 監控機制，資料缺 失率 50% 降低到 <1% Taipei City, Taiwan 工作經歷 Data Engineer / Scientist MediaTek Inc. • 2019/07 - Present 協助晶片設
Employed
Full-time / Interested in working remotely
4-6 years
National Chiao Tung University
・
Computer ScienceThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Employed
Job Search Progress
Ready to interview
Professions
Information Analyst, Data Engineer, Data Scientist
Fields of Employment
Software, Foundation
Work experience
2-4 years
Management
I've had experience in managing 1-5 people
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Fluent
Job search preferences
Positions
資料分析師、資料科學家
Job types
Full-time
Locations
台灣台北市, 台灣新北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
政治大學
Major
資訊管理
許博淳
Over four years of experience in data handling as a Data Engineer and Data Analyst.
Solid analytical skills with SQL and Python.
Proficient in contributing to and maintaining the data pipeline.
TOEIC: 890
Email: [email protected]
Skills
Programming
- SQL (Transact-SQL)
- Python
Data Pipeline
- Azure Synapse Analytics
- Azure Automation Runbooks
- SQL Server Management System
- SQL Server Analysis Service
Working Experience
Trend Micro(趨勢科技), Data Engineer, 2022/10 ~ NOW
Construction and Management of Data Pipelines
- Regularly fetch and update data from external platforms using APIs, establishing retry mechanisms and data quality checks.
- Ensure data quality; investigate the cause of anomalies during data updates and verify if data quality alerts are false alarms.
- Integrate cloud and on-premise pipelines to guarantee that data users have access to accurate information.
Cloud Migration of Data Pipelines
- Migrated the on-premises pipeline to Azure Synapse Analytics and redesigned it, eliminating unnecessary dependencies.
- Refactored the on-premises stored procedure for migration. Accelerated the stored procedure execution by 6-10x.
- Implementing a daily data validation mechanism. If any abnormal data changes are detected, recording and halting the pipeline to prevent data contamination.
Junyi Academy(均一平台教育基金會), Data Analytical Engineer, 2020/02 ~ 2022/07
Maintenance and Refactoring of the Data Pipeline
- Refactor and decouple the SQL procedure of weekly update.
- Optimize the structure and the operator of Airflow DAGs.
Leading the Interns
- Help them finding out the career path by trying different kind of works. Let the interns learn what they want and prevent the trap of curiosity. Finally it increase the willingness of them to become the formal employee.
- Automatize the routinely report. Free 10% of the labor hour and prevent the human error.
- learn the domain knowledge and apply to business analysis.
Creation and Maintenance of the Dashboard
- Let the mass society understand the situation of Junyi, e.g. https://www.junyiacademy.org/statistics.
- Let the colleagues of Junyi can easily monitor the key indicator and correct the problems.
Produce the Technical Document
- The importance of the technical document is not only record, but experience inheritance. Whenever we need, we can easily find the document for help. Furthermore, we continuously update it. As time goes by, the document still be correct.
Education
National Cheng Chi University
Management Information System
2017 ~ 2019
National Chiao Tung University
Transportation and Logistic Management
2012 ~ 2016
許博淳
Over four years of experience in data handling as a Data Engineer and Data Analyst.
Solid analytical skills with SQL and Python.
Proficient in contributing to and maintaining the data pipeline.
TOEIC: 890
Email: [email protected]
Skills
Programming
- SQL (Transact-SQL)
- Python
Data Pipeline
- Azure Synapse Analytics
- Azure Automation Runbooks
- SQL Server Management System
- SQL Server Analysis Service
Working Experience
Trend Micro(趨勢科技), Data Engineer, 2022/10 ~ NOW
Construction and Management of Data Pipelines
- Regularly fetch and update data from external platforms using APIs, establishing retry mechanisms and data quality checks.
- Ensure data quality; investigate the cause of anomalies during data updates and verify if data quality alerts are false alarms.
- Integrate cloud and on-premise pipelines to guarantee that data users have access to accurate information.
Cloud Migration of Data Pipelines
- Migrated the on-premises pipeline to Azure Synapse Analytics and redesigned it, eliminating unnecessary dependencies.
- Refactored the on-premises stored procedure for migration. Accelerated the stored procedure execution by 6-10x.
- Implementing a daily data validation mechanism. If any abnormal data changes are detected, recording and halting the pipeline to prevent data contamination.
Junyi Academy(均一平台教育基金會), Data Analytical Engineer, 2020/02 ~ 2022/07
Maintenance and Refactoring of the Data Pipeline
- Refactor and decouple the SQL procedure of weekly update.
- Optimize the structure and the operator of Airflow DAGs.
Leading the Interns
- Help them finding out the career path by trying different kind of works. Let the interns learn what they want and prevent the trap of curiosity. Finally it increase the willingness of them to become the formal employee.
- Automatize the routinely report. Free 10% of the labor hour and prevent the human error.
- learn the domain knowledge and apply to business analysis.
Creation and Maintenance of the Dashboard
- Let the mass society understand the situation of Junyi, e.g. https://www.junyiacademy.org/statistics.
- Let the colleagues of Junyi can easily monitor the key indicator and correct the problems.
Produce the Technical Document
- The importance of the technical document is not only record, but experience inheritance. Whenever we need, we can easily find the document for help. Furthermore, we continuously update it. As time goes by, the document still be correct.
Education
National Cheng Chi University
Management Information System
2017 ~ 2019