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Infosys is looking for Data Engineers in Taiwan. RESPONSIBILITIES: • Develop and maintain a perfect data pipeline design. • Improve internal processes by identifying, planning, and putting them into practice. Examples include automating manual operations, improving data delivery, re-designing infrastructure for increased scalability, etc. • Create the infrastructure essential for effective data extraction, conversion, and loading from a wide range of data sources. • Create data lineage to track and visualize the data flow of source and target datasets. • Create massive, complicated data sets that satisfy both functional and non-functional business objectives. • Construct analytics solutions that utilize the data funnel to offer actionable insights into gaining new customers, improving operational effectiveness, and other crucial company performance indicators. • Assist stakeholders, such as the Executive, Product, Data, and Design teams, with technical data-related challenges and provide for their data infrastructure requirements. • Maintain the privacy and security of data • Develop data tools • Work with cross teams to improve the operation of our data systems. SKILLS/COMPETENCIES • Degree in Computer Science, IT, or similar field • 5+ years of experience • Previous experience as a data engineer or in a similar role • Technical expertise with, data mining, analysis and API • Familiar with Tableau or Power BI • Great numerical and analytical skills Additional Skills: • Proficient in Mandarin Chinese • Strong attention to detail • Ability to take responsibility for action and outcomes • Ability to stay informed of current industry trends and learn new concepts • Good problem solving skills • Requires knowledge and experience in own discipline; still acquiring higher level knowledge and skills • Builds knowledge of the organization, processes and customers • Solves a range of straightforward problems • Analyzes possible solutions using standard procedures • Receives a moderate level of guidance and direction MUST Have: • Java and/or Python • ETL/ELT tool: Informatica • Advanced SQL or PLSQL • Deep understanding of relational database(Oracle) • Experience in handling structured/semi-structured data • Familiar with Big data tools and Cloud data solutions. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.資訊工程學類

應徵人數|1-5 人

2024/03/27

Infosys is looking for Technical Support in Taiwan. RESPONSIBILITIES: • Responsible for Policy Management System (PMS) Data Extraction, Data Fixing, Code Fixing, monitor and ensure user daily operation work smoothly. • Work with a cross-functional team of BA, developers, QA, business users and PLs. • Participate in troubleshooting various problems in the system • Participate in design discussions and reviews • Participate in the full life cycle for all of requirements (such as enhancement, production issue): analysis/design, implementation, testing, releasing and sustaining MUST Have: • With Problem solving and work independently capability • With good business (logical) and technical thinking. • Excellent knowledge and hands-on experience of GraphTalk or C/C#/JAVA language (and ready to upskill in GT) • Strong skills in testing your own code using unit or functional tests • Chinese communication skill Nice to Have: • Policy Management System (PMS) development experiences in insurance industry or financial banking system development experiences. • Experience on developing with RDBMs, e.g., MySQL • Dynatrace tool adaption experience for application monitoring.資訊工程學類

應徵人數|1-5 人

2024/03/21

1. 無塵室(Clean Room)、資料中心(Data Center)、生技廠等廠域的空調規劃設計工作。 2. 空調應用方案及計算書製作。 3. 工程圖件與規範設計。 4. 依專案需求需派工地。冷凍空調學類,電機工程學類,電子工程學類TOEFL,IELTS國際英語測驗,TOEIC Bridge

應徵人數|1-5 人

2024/03/29

1. 無塵室(Clean Room)電力、監控、通訊的規劃設計工作 2. 資料中心(Data Center)電力、監控、通訊的規劃設計工作 3. 生技廠電力、監控、通訊的規劃設計工作 4. 工程圖件與規範設計電機工程學類,電子工程學類,機械工程學類TOEFL,IELTS國際英語測驗,TOEIC Bridge

應徵人數|1-5 人

2024/03/29

(1) 熟悉JAVA / Javascript / HTML/ CSS/ SQL /Spring boot / Spring MVC / Spring / Spring data jpa / Hibernate / Angular / Vue 3/ 等 (2) 良好的溝通與表達能力,同時致力於團隊協同工作 (3) 單元測試、系統功能等相關測試與除錯 (4) 程式設計規格文件撰寫 (5) 有開發專案經驗佳 (6) 至少一年開發經驗 (7) 具 SCJP / SCWCD 者尤佳 不須出差外派(工作地點需要CHT / 客戶端兩邊跑) 可能需要加班資訊管理學類,資訊工程學類SCJP,SCWCD

應徵人數|1-5 人

2024/03/27

SHORT DESCRIPTION: This role‘s responsibilities include managing and supporting the Windows/Linux server infrastructure and involved in server infrastructure transformation initiatives. RESPONSIBILITIES: • Deploy, configure, document and maintain physical and virtual server environment. • Ability to design and setup complex environment, including Virtualization, Operating systems. • Develop and maintain detailed documentation, including installation, configuration, and operations procedures. • Monitor performance, identify bottlenecks, and implement performance optimizations. • Troubleshoot server-related issues promptly and efficiently to minimize downtime. • Implement and manage backup and disaster recovery strategies. • Ability to work with a team and independently in evolving infrastructure architecture and make recommendations for improvements. • Ability to understand the project’s needs and design various environments and components of those environments. • Implement and maintain security best practices for both on-premises and cloud environments. • Carry out security vulnerability remediations as required. • Ensure compliance with company standards and data protection regulations. • Share knowledge and expertise with colleagues to promote continuous learning. • Mentoring skills: experience with training and educating teammates or colleagues on contemporary operational best practices SKILLS/COMPETENCIES • Bachelor‘s degree in Computer Science, Information Technology, or related field. • 3+ years of hands-on experience in infrastructure engineering or a related field. • Strong knowledge in Windows and Linux. • Strong problem-solving skills and attention to detail. • Excellent English communication and collaboration skills. • Work effectively under strong pressure to meet tight deadlines and handle multiple tasks. • Be flexible in working hours to accommodate urgent requests and project needs. Must Have: • Windows/Linux Sever • Virtualization • Mandarin Chinese資訊工程學類

應徵人數|1-5 人

2024/03/25

Purpose of this Position: IPC Business Department aims for driving digital transformation in industrial markets through addressing the increasing demand of data connectivity and processing with industrial-grade computers and gateways at the edge. We are looking for a product manager for one of our IPC and IIoT Gateway product lines. If you are a go-getter with a can-do attitude, thriving on overcoming challenges, and always willing to go the extra mile and do that one more thing to further the business objective, we want to hear from you! The product management team is the business owner of the product line and responsible of product marketing, business development, product creation and project management of the industrial computers and gateway portfolio. The team works closely with cross-functional teams to guide products from conception to launch and drive business impacts. Major Areas of Responsibility: 1. Formulate and execute business plans and go-to-market approach. 2. Spearhead sales opportunities and accounts engagement, including: - manage customer technical request and arrange resource to meet the request. - manage RFQ/RFP evaluation in professional and efficient way, including technical requirements, budget, schedule, ROI control. 3. Lead cross-functional teams for product development and foster portfolio’s value propositions to address trends and requirements of Industry 4.0, and Industrial IoT markets. 4. Analyze market segmentation and contribute to defining product positioning strategy with key stakeholders. 5. Manage product marketing for new products launching globally. 6. Develop external sales collateral kits and internal sales enablement packs. 7. Being the contact liaison to collaborate with product team and regional team to deliver marketing message and provide market insight. 8. Conduct market research and competition landscape analysis 9. Demonstrate energetic and self-motivated with great strategic perspective, a proven record of tactic execution.電機工程學類,電子工程學類,資訊管理學類

應徵人數|1-5 人

2024/03/28

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Job Summary: The Specialist will be responsible for driving digitization and datadriven operating model (DDOM) to the dealing room by providing technical expertise in the areas of data analysis, digital solutions, and automation. This role will work closely with cross BU/SU and cross-country colleagues to identify business opportunities for digital solutions, advanced analytics, and machine learning techniques to improve customer experience, internal efficiency, and drive revenue growth. Responsibility: ★ Collaborate with the dealing room team and other departments to identify and collect relevant data to develop new strategies and tactics based on market insights and data analysis in compliance with regulatory requirements and internal policy ★ Maintain the local T&M data pipeline within ADA to support all analytics and modelling from enterprise ADA ★ Align to regional change management framework for data to be adopted into Taiwan ★ Work with overseas data colleagues in Hong Kong and Singapore and to port over analytics tools and models fit for local Taiwan T&M use ★ Analyze data to identify trends, opportunities for revenue growth, and areas for improvement ★ Apply statistical modeling and machine learning techniques to develop predictive models and algorithms to drive business outcome ★ To work with internal/external teams on exploring or creating new business models to drive new revenue streams ★ Manage implementation of digital solutions with clients ★ Communicate findings and recommendations to stakeholders in a clear and concise manner ★ Conduct research and stay up-to-date with industry trends and best practices in data analysis, digital solutions, and automation, and provide recommendations for new tools or platforms that could benefit the dealing room ★ Work with marketing and product management teams to drive revenue growth and client acquisition through digital channels ★ Perform other related duties as assigned

應徵人數|1-5 人

2024/03/25

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you‘ll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform for SHOPLINE merchants 【Who we are looking for】 - Fluent in Python and SQL, experience in api framework (Flask, FastAPI, Django) is a plus - Expertise in hands-on ETL job design and development (Apache Airflow preferred) - Proficient in SQL and NoSQL databases, experience in PostgreSQL / BigQuery / MongoDB is a plus - Experience in working with cloud services such as AWS / GCP, data related services preferred - Knowing how to work with big data tools or stream-processing system, such as Apache Kafka, Apache Flink, Debezium, and etc - Familiar with Linux/Unix environments, developed with Docker / Kubernetes - It’d be a plus if you’re familiar with the e-commerce industry and rich experience in data analysis

應徵人數|1-5 人

2024/03/26

• Partner with Franchise, Customer Management team and also Product Team to formulate business strategies and using data insights to drive Treasures Acquisition, Engagement and Transaction • Develop and maintain Control Tower, utilize Data Driven Operation Model (DDOM) to maximize value from data and drive strategies deliver business outcomes. • Create visualizations and present clear, concise, and actionable insights to the key stakeholders, lead discussions on analytics and interpretation of results • Develop models and data insights to plan and drive the customer interactions

應徵人數|1-5 人

2024/03/25

Amazon Web Services (AWS) is a fast-paced technology company and a leader in the world of data centers. We are looking for senior technical engineers who are interested in joining an elite team and eager to learn the skills necessary to maintain one of the world‘s largest IT infrastructures in AWS Data Centers. Key job responsibilities •7x24 roster duty in data center operations •Incident first responder and onsite hands-on support •Break-fix and troubleshoot technical issues on all systems, hardware and network devices •Develop and customize local process guidelines to enhance operations efficiency •Take up small scale local initiative and deliver according to agreed timeline •Capacity landing and decommissioning •Maintain proper media operations according to process guideline •Network cabling include optics, fiber and copper cables •Enforce Amazon Security and Safety policies and best practice •Site management and operation •Innovate and contribute from day-to-day operation experiences to improve operation efficiency.

應徵人數|1-5 人

2024/03/24

About us The AI Lab at Quanta is focused on empowering the company through AI. We develop AI algorithms and software solutions that not only enhance our products but also optimize productivity across various functions within the organization. We also provide AI information and knowledge for the executives from different business units for strategic decision-making. The lab fosters innovation, encouraging groundbreaking ideas to push the boundaries of AI and drive transformative change. Job description As a data scientist in the AI Lab, you will have the opportunity to work closely with project managers, software engineers, and other stakeholders to develop AI-powered solutions for the diverse functional teams, including engineering and manufacturing. You will have access to a remarkable computing resource (100+ GPUs and 1000+ CPU cores) enabling you to develop the models and algorithms and experiment with state-of-the-art algorithms. Responsibilities ●Execute data science and artificial intelligence projects, from project inception to completion. ●Develop and implement models or algorithms to solve engineering and manufacturing problems. ●Collaborate with project managers, software engineers and other stakeholders to develop data science and artificial intelligence solutions. ●Stay up-to-date on the latest data science and artificial intelligence trends.數學統計學門,資訊管理學類,工程學門

應徵人數|1-5 人

2024/03/24

1. Safety and security services delivery for protecting people and property. 2. Incident reporting and response actions complied with corporate policy and guidelines. 3. Monitoring the environment and deterring suspicious and unsafe activities. 4. Access control in terms of checking identifications/badges. 5. Patrolling in/around buildings and campus areas on foot or in vehicle. 6. Knowledge of emergency procedures, equipments and supplies.普通小型車

應徵人數|1-5 人

2024/03/25

The Inventec Digital Center is a research and development facility for all things related to Digital Transformation, Data-Centric AI, and Trustworthy AI. Our primary mission is to influence and empower business and corporate units with digital knowledge constructively and collaboratively. We are responsible for implementing the digital strategy, discovering insights from the data, and executing them in the company. We are a team with a broad spectrum of talents, including project managers, data scientists, AI researchers, and software engineers. The group is a flat organization, and we frequently collaborate with colleagues outside of our center, academic consultants, and business partners outside of the company. Our members thus enjoy the unique opportunity to publish in top-tier academic venues, author technical patents, and produce real-world impacts during their career in the center. 1. Anchor the stakeholders‘ or users’ problems to conceptualize and prototype improvements with company data assets. 2. Lead technical delivery on prototype analysis pipelines including but not limited to data collection, analytical method development, and presentation. 3. Capture data-added value by discovering opportunities for new methods or applications. 4. Coordinate projects and interact with cross-functional departments to enable a data-driven culture and make company data comprehensive, approachable, and trustworthy. 數位中心為一研究與發展部門。主要負責公司數位轉型以及資料驅動/人工智慧專案/可信賴人工智慧的開發。我們與公司各單位/部門合作,從資料出發,發現資料中隱含之潛力與價值,進而提出具有建設性的建議。除了公司內部各單位/部門,數位中心也頻繁的與外界產學單位合作,其中包含國內外知名大學、企業合作夥伴。中心主要工作內容包含但不局限於數位決策、挖掘資料價值、以及系統落地與執行。中心組織結構扁平,直屬於部門主管,部門同仁多元且合作密切,涵蓋專案經理、資料科學家、人工智慧研究員、以及軟體工程師。數位中心鼓勵中心同仁將成果投稿至學術會議與期刊、技術專利並期許產出能對世界產生影響 工作內容: 1. 資料結構分析: 釐清資料定義、剖析資料特性、整合資料、資料視覺化 2. 問題的定義和判別: 發掘與分析問題,提出觀察與建議,並與團隊合作建立機器學習模型演算法 3. 研究及執行可數據驅動的解決方案: 實作並改良機器學習技術,分析並建構研發、製造、營銷、管理等數據指標 部門額外福利: 【專業延伸】定期舉辦讀書會,部門同仁自發性地講解不同的專業知識,延伸同仁的技能組。 【接軌國際】鼓勵同仁參與國際會議,定額補助國際會議的差旅支出。數學統計學門,電算機學門,電機工程學類

應徵人數|1-5 人

2024/03/25

About us The AI Lab at Quanta is focused on empowering the company through AI. We develop AI algorithms and software solutions that not only enhance our products but also optimize productivity across various functions within the organization. We also provide AI information and knowledge for the executives from different business units for strategic decision-making. The lab fosters innovation, encouraging groundbreaking ideas to push the boundaries of AI and drive transformative change. Job description As a data science manager, you will lead and manage a team of data scientists to develop and implement AI-powered solutions for the company. You and your team will have access to a remarkable computing resource (100+ GPUs and 1000+ CPU cores) to develop the models and algorithms and experiment with state-of-the-art algorithms. Responsibilities: ●Lead and manage a team of data scientists. ●Collaborate with project managers, software engineering team and other stakeholders to develop data science and artificial intelligence solutions. ●Coordinate and manage project priorities, deadlines, and deliverables. ●Stay up-to-date on the latest data science and artificial intelligence trends.數學統計學門,資訊管理學類,工程學門

應徵人數|1-5 人

2024/03/24

•Work with Data Collection Analysts to set well-defined data collection tasks for products in development. •Coordinate basic product testing including recruiting testers, booking facilities and maintaining equipment. •Conduct data collection sessions with test subjects according to established test protocols. •Accurately record, download and enter data from test sessions . •Resolve basic issues during data collection and logging. •Applies standards and procedures to accomplish tasks. •Learns how to use and apply appropriate tools as needed for this role. •Understand and comply with Garmin’s Mission, Vision, Values and Quality Policy.工程學門,資訊管理學類,資訊工程學類

應徵人數|1-5 人

2024/03/28

Data engineer with Python + BigQuery Descriptions: • API development with Python interfacing BigQuery + MySQL • Optimize application for maximum speed and scalability Requirements: • At least 2-3 years of experience in Python on Google Cloud Platform development • Well verse in databases, SQL, MySQL and BigQuery • Excellent knowledge with API development • Testing / debugging / quick diagnosing with API • Excellent analytical and problem-solving abilities • Preferred candidates with bachelor’s degree in IT, computer science, mathematics, or related designing fields. Soft skills: • Team player with positive altitude and professional work-ethic • Self-motivated individual who can work independently if needed • Result oriented mind-set • Able to communicate in English would be an added advantage • Common sense is a must

應徵人數|1-5 人

2024/03/25

• Design and implement software systems and tools for internal process automation based on data mining and machine learning techniques. • Design, implement, and operate data analytics platforms for business intelligence analysis. • Provide data insights and develop data intelligence solutions/reports for business decisions. • Work with other teams to assist with data-related technical issues and support their data infrastructure needs. • Evaluate and identify the use of new or existing software products and technologies. • Perform other duties as necessary.

應徵人數|1-5 人

2024/03/26

• Discover insights from a wide variety of data sources for potential business decisions. • Collaborate across marketing, business operations, and business leaders to understand business questions. • Create detailed report based on data mining and data visualization for business requirement. • Perform other duties as necessary.資訊管理學類,資訊工程學類,數理統計學類

應徵人數|1-5 人

2024/03/26

Introduction to the job As a Data science engineer in CS Operational Excellence team, you will be part of the digital transformation journey within Customer Support OPS towards sustainable improvement in data automation, data visualization and systems applications with the aim of creating value and reducing wastes. You will provide support to the line organization and co-ordinate the necessary training and coaching to employees, including leadership teams, and build internal capabilities through train-the-trainer concepts. Being as part of the CS Operational Excellence team, you will respectfully challenge the status quo and act as a role model for Lean thinking, and thereby act as a change agent to help ASML’s Customer Support sector in the transformation towards a Lean organization. Role and responsibilities As a Data Science Engineer, you will be playing multiple roles in CS operation excellence journey, Automation enabler, to deliver automation improvements by developing solutions for the existing data processing work. i.e. to use macro to replace manual download from SAP, manual summary in excel, manual sending reports by email. Solutions developer, to deliver applications to help CS site operation or teammates to do systematic analysis, data tracking and data visualization for certain management purposes, like cross site support tracking system, CI tracker. Data Science role to (a) Perform data mining, data benchmarking from actual performance data, machine data, QCDS KPIs, dashboard, SOs, and other sources. (b) Provide insights from data mining analysis to higher management and input to lean strategy (c) Support improvement projects for digital measurement and monitoring after improvement. (d) Create proactive and predictive data model to help operation for fast reaction or act before issue happen. Change agent for the solutions developed, to roll out and train larger group and encourage high adoption to maximize the potential benefits of solutions, together with team members. Benefit validator and visualizer, to visualize & validate the benefits gain from automation or system development, prove the system effectiveness and ROI (return of investment) Responsible to uplift OPS department capability on data analytics, data automation and dashboard creation through training, workshop and problem solving journey. HK BI (Hoshin Kanri Business Intelligence), make item 1~6 connect to HK long term goal and feedback timely by dashboard system design in each tier to support right decision in right time. Lean Knower, thinker and supporter and utilize digital method to improve, standardize and engage in lean journeys. Education and experience Master‘s degree in math, computer science, or another related field Experiences in Program coding/System development Project Leader / Lean / LSS Skills Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you’ll need the following skills: Has strong ability to use a range of different IT techniques (VBA, Python, database softwares, PowerBI, PowerAutomate, PowerAPPS, SAP); Fast learner, clear logic, can execute tasks even with new software/applications. Task orientation, be digital problem solver for the organization Actively gives and seeks constructive feedback; Crisp communicator at all levels (operational – executive); Can train and coach others; Delivers fact-based and well-structured messages in a range of different formats, e.g. presentation, written messages. Business English both spoken and written is required; Great networking skills, able to work at multiple levels of the organization, from team members on the field to Senior Managers; A belief in ‘walking the talk‘ and working as a member of a team; Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amount of information with attention to detail and accuracy Diversity & Inclusion ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. Other information This position resides in Operation excellence team under customer support organization

應徵人數|1-5 人

2024/03/07

The Clinical Data Analyst is responsible for scientific programming in data validation, dataset transformation, and statistical analysis programming. Also, the Programmer supports data management or statistical activities for projects, if needed. Qualified individuals must have a bachelor‘s degree in statistics, biostatistics, mathematics, public health, or related field, or have 0-2 years of pharmaceutical experience in drug research and development. An advanced master’s degree is preferred. Knowledge of Statistical Application Software (SAS) or other programming language is required. The knowledge of Clinical Data Interchange Standards Consortium (CDISC) standards is preferred. 無工作經驗者月薪36000~42000元數學統計學門,資訊科學學門,公共衛生學類

應徵人數|1-5 人

2024/03/29

• Minimum 10+ years of experience with 5+ years into Data Architectural principles • Perform architecture design, data modeling, and implementation of Big Data platform and analytic applications. • Experiences in data governance design • Experiences in data lifecycle management • Analyze the latest Big Data Analytic technologies and their creative applications in business intelligence analysis. • Good appreciation and at least one implementation experience in Big Data i.e. Spark, Storm etc • Exposure to varying databases NoSQL, Cloud Storage Object, Relational Database (Oracle). Be able to cite implementation experiences constraints and performance challenges in practice • Good knowledge with infrastructure, network, hardware and software • Experiences in electronics industry is a plus

應徵人數|1-5 人

2024/03/26

The Data Manager is responsible for all clinical data management tasks, database design, EDC construction, status report preparation, and supports scientific programming. Qualified individuals must have a bachelor‘s degree in statistics, biostatistics, mathematics, nursing, epidemiology, or related field, or have 0-2 years of pharmaceutical experience in drug research and development. Knowledge of Statistical Application Software (SAS) or other programming language is required. The knowledge of Clinical Data Interchange Standards Consortium (CDISC) standards is preferred. 無工作經驗者月薪28000~32000元數理統計學類,公共衛生學類,醫學學類

應徵人數|1-5 人

2024/03/29

【全球智慧製造】 你知道Garmin的智慧工廠嗎? 你知道火星上出現過Garmin的產品嗎? 你知道飛行員總是配戴Garmin的手錶上天空嗎? 全球智慧製造服務計畫(GSMS)透過AI、機構、電控、資料科學、IoT、大數據等技術,將智慧製造系統,即時控制與調整全球生產系統,且在地化支援亞洲、美洲、歐洲多個國家 如果你想體驗不同的文化,綻放自己的光芒! 現在就投遞履歷,讓我們見識你的獨特潛力! 【Introduction】 With increasing velocities, varieties and complexity of data at Process Integration (PI), the PI Data Engineering Team becomes the important role supporting existed or new projects using big data techniques to manipulate large streaming/batch dataset with various format on highly efficient way. 【Responsibilities】 -Desgin and Implement data batch/streaming pipelines on Hadoop and Spark eco-systems supporting production line -Cross-functional collaboration with domain experts and data scientists -Understand the metrics from automachines used in Garmin factory and delever the efficinet data pipelines for downstream projects 【Requirements】 -2 Years+ of programming using Scala/Java/Python -2 Years+ of experience on RDBMS like Orcale, MySQL, SQL Server about data data modeling and query performance tuning -1 Years+ of designing end to end data pipeline on distributed system like Kafka, Spark, Hadoop, etc -1 Years+ in developing Web service/Restful APIs -Be positive, data loving and interested in growing into more senior data engineer工程學門,資訊管理學類,數學統計學門

應徵人數|1-5 人

2024/03/18

1.跨部門溝通, 了解及收集使用者報表需求 2.深入了解及理解公司所有報表內容並進行優化 3.依使用者需求, 開發彈性報表使用界面 4.使用 SQL 產出相關分析報表 5.資料數據分析與邏輯運算作業 6.專案簡報及系統文件選寫

應徵人數|1-5 人

2024/03/27

1.具多項能力優先錄用 2.熟資料取得技術(ETL)-爬蟲技術/SQL語法/其他Python Library 3.熟資料預處理技術(EDA)-熟Python程式語言 4.資料視覺化(Data Visualization) 5.數據儀表板(DashBoard)建立-Power BI/Tableau 6.熟特徵工程(Feature Engineering)技術

應徵人數|6-10 人

分析

2024/03/27

Job Purpose: 1. To support the profitable growth of the Secured Lending products (Mortgage Loan & Trust Lending) in the Consumer Banking business. 2. To frame the lending policy, Risk Appetite framework; bureau and score use strategies, portfolio analysis in TW. 3. To ensure controls over implementation of policy. Ensure that the adequate infrastructure (scorecards, systems, validations, MIS etc) is in place to manage portfolio properly. 4. To design and execute tests that will enable future growth, strategy optimization, expense savings, or process enhancements. 5. To ensure compliance with Regional/Group Policy and relevant risk related regulations; ensure compliance with local regulation. Key Accountabilities: 1. To roll-out/enhance the credit lending framework including policies, processes, MIS, controls, etc for the Secured Lending business in TW. 2. Monitor and validate credit policies, processes, MIS, controls across program and customer lifecycle. Develop tracking standards and review actual results versus benchmark/target with full analyses of any variances. 3. Working with the Group/Regional Risk teams in evaluating policy change requests and further implement and execute policy strategies. 4. Identify opportunities to enable digitalization and innovation in credit cycle management processes in acquisition, data analytics and portfolio management. 5. Support strategic vision for a new operating model in CBG Credit, focusing on innovation, analytics and future-skilling. Job Duties and Responsibilities: 1. Manage policy / processes for Secured Products (Mortgage Loan & Trusting Lending) 2. Co-work with BU in the preparation & implementation of product programs for Secured Products. 3. Facilitate regular asset quality reviews with provision of analytics insights to identify risks/ opportunities and recommend relevant actions 4. Ensure credit policies and program risk acceptance criteria are reviewed regularly, with timely updates for proactive adaptation to changes in legal /regulatory requirements, business strategies, market environment or portfolio performance 5. Drive portfolio management initiatives through the credit cycle management framework by working in partnership with product managers, credit systems team, credit operations team and collection team 6. Work in partnership with credit systems support team to implement key credit policy criteria in relevant credit acceptance & evaluation systems 7. Escalate on timely basis significant risk issues to business management and manager for taking appropriate remedial actions 8. Ensure timely completion of RCSAs including appropriate action plans to address identified control gaps 9. Ensure issues/action plans arising from Risk & Control Self-Assessments, risk events, KRIs, regulatory inspections or other risk issues are properly followed up. 10. Provide support to ongoing/pipeline digital lending projects including Ecosystem partnership initiatives.商業及管理學門,經濟學類

應徵人數|1-5 人

2024/03/25