เงื่อนไขการค้นหา

ทักษะ:

Project Management, Architecture, SQL, ETL, English

ประเภทงาน:

งานประจำ

• A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
• Key Accountabilities.
• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs ...
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Good Communication Skills, High Responsibilities, Teamwork, English

ประเภทงาน:

งานประจำ

• Edit and maintain technical product data for online catalogs and internal databases.
• Review and validate technical information before publication.
• Coordinate with internal teams and communicate with clients regarding data requirements and project progress.
• Prepare reports and collaborate with the team on productivity review activities.
• Perform other related duties assigned by the project leader.
• Bachelor's degree in any related field.
• At least 2 years of working experience.
• Strong Microsoft Excel skills.
• Good analytical skills and attention to detail.
• Good communication and coordination skills with clients and internal teams.
• TOEIC score of 750 or above, or equivalent English proficiency.
• Able to work effectively in a multicultural environment within a Japanese company and adapt to Japanese business practices.
• Preferred Attributes.
• Detail-oriented with a high level of accuracy.
• Able to learn technical products and systems quickly.
• Comfortable working with large volumes of technical data.
• Responsible, proactive, and able to manage multiple tasks while meeting deadlines.
• Interested in engineering, manufacturing, or industrial products..

ประเภทงาน:

งานประจำ

• Implementing and maintaining the deterministic or stochastic Prophet model, data conversion system, and database infrastructure to support actuarial analysis and reporting processes.
• Providing support in the Prophet modelling and data delivery processes to facilitate the fast-close initiative.
• Implementing new products into the deterministic Prophet model and enhancing the data conversion system and/or database infrastructure to support the new product implem ...
• Providing support to facilitate the implementation and testing of ad-hoc model and data change requests and/or project deliverables.
• Investigating, testing and resolving the Prophet model and/or data issues associated with new product implementation, ad-hoc model and data change requests, etc.
• Identifying and communicating about risks and issues in the Prophet modelling and data delivery processes.
• Preparing documentation of changes to the Prophet model, data conversion system, and database.

ทักษะ:

Accounting, English

ประเภทงาน:

งานประจำ

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Good Communication Skills, Multitasking, Problem Solving, Microsoft Office, Data Entry, English, Thai

ประเภทงาน:

งานประจำ

• Provide general administrative and office support to management and team members.
• Assist with communication and coordination with government offices, regulatory agencies, and external service providers.
• Prepare, organize, and maintain company records, documents, and filing systems.
• Input and maintain basic financial and accounting data, including invoices, receipts, expense records, and payment tracking.
• Coordinate with accountants, suppliers, vendors, and business partners as needed.
• Assist with permit applications, license renewals, and regulatory documentation.
• Support scheduling, meeting coordination, and travel arrangements.
• Handle correspondence, phone calls, emails, and other administrative communications.
• Assist with inventory records, office supplies, and operational documentation.
• Support company events, tastings, trade shows, and other business activities when required.
• Perform other administrative duties as assigned.
• Territory & Travel.
• Primarily based in Chiang Mai - head office in Hang Dong.
• Occasional local travel may be required for meetings with government offices, suppliers, or business partners.
• Previous experience in an administrative, office assistant, coordinator, or similar role preferred.
• Strong organizational skills and attention to detail.
• Comfortable working with spreadsheets, documents, and basic financial records.
• Proficiency in Microsoft Office (Word, Excel, Outlook) and/or Google Workspace.
• Strong written and verbal communication skills in Thai.
• Basic English communication skills required.
• Ability to work independently and manage multiple tasks effectively.
• Professional, dependable, and proactive attitude.
• Experience communicating with government offices or handling regulatory documentation is an advantage.
• Experience in food & beverage, hospitality, manufacturing, or startup environments is a plus but not required.
• Compensation & Benefits.
• Base salary: 15,000 - 35,000 THB per month (depending on experience).
• Social Security.
• Performance-based bonuses.
• Professional development opportunities.
• Travel and business expense coverage when required.
• What Success Looks Like in This Role.
• Administrative tasks completed accurately and on time.
• Well-organized company records and documentation.
• Effective communication with government offices and external partners.
• Accurate and timely financial data entry and record keeping.
• Smooth support of daily business operations.
• Ability to identify and solve administrative issues proactively.
• Work Environment.
• Startup culture: fast-paced, flexible, and growth-oriented.
• Opportunity to contribute ideas and improve internal processes.
• High level of ownership and responsibility.
• Close collaboration with founders and leadership team.
• Application Process
• Interested candidates should submit their CV and a short introduction outlining their experience and interest in the role to [email protected].
• Office Assistant
• บริษัท หิมวันต์ จำกัด (ธุรกิจอาหารและเครื่องดื่ม)
• เชียงใหม่ ประเทศไทย (พร้อมเดินทางไปกรุงเทพฯ และภาคใต้ของประเทศไทย).
• เกี่ยวกับบริษัท (About Us)
• เราเป็นบริษัทด้านอาหารและเครื่องดื่มที่มุ่งมั่นพัฒนาผลิตภัณฑ์ระดับพรีเมียม โดยได้รับแรงบันดาลใจจากมรดกทางอาหารอันทรงคุณค่าของประเทศไทยและวัตถุดิบคุณภาพจากแหล่งผลิตในท้องถิ่น เป้าหมายของเราคือการสร้างสรรค์ผลิตภัณฑ์ที่มีเอกลักษณ์ โดดเด่น และมีคุณภาพสูง ถ่ายทอดรสชาติอันเป็นเอกลักษณ์ของแต่ละภูมิภาค พร้อมตอบโจทย์ผู้บริโภคยุคใหม่ทั้งในประเทศไทยและต่างประเทศ.
• ในฐานะสตาร์ทอัพที่กำลังเติบโต เราผสานความคิดสร้างสรรค์ นวัตกรรมด้านผลิตภัณฑ์ และความมุ่งมั่นในคุณภาพ เพื่อพัฒนาแนวคิดใหม่ ๆ ให้เกิดขึ้นจริง เรากำลังสร้างทีมงานที่มีความกระตือรือร้น พร้อมเรียนรู้และเติบโตไปด้วยกันในสภาพแวดล้อมการทำงานที่เปิดกว้างและส่งเสริมการทำงานเป็นทีม เพื่อร่วมกันสร้างอนาคตของแบรนด์อาหารและเครื่องดื่มไทยที่มีศักยภาพ.
• แรงบันดาลใจของแบรนด์มาจาก "ป่าหิมพานต์" ดินแดนในตำนานแห่งคติความเชื่อไทย ซึ่งเป็นที่อาศัยของสัตว์หิมพานต์และสิ่งมีชีวิตในตำนาน เช่น พญานาค ครุฑ และราชสีห์ อันสะท้อนถึงความงดงาม ความคิดสร้างสรรค์ และเอกลักษณ์ของวัฒนธรรมไทย.
• สรุปตำแหน่งงาน (Position Summary).
• บริษัทหิมวันต์กำลังมองหาผู้ช่วยสำนักงาน (Office Assistant) ที่มีความเป็นระเบียบ มีความรับผิดชอบ และมีความกระตือรือร้นในการทำงาน เพื่อสนับสนุนงานธุรการและการดำเนินงานประจำวันของบริษัท ตำแหน่งนี้เหมาะสำหรับผู้ที่ชื่นชอบการจัดการงานเอกสาร การประสานงานกับหน่วยงานภายนอกและหน่วยงานราชการ รวมถึงการสนับสนุนการดำเนินธุรกิจที่กำลังเติบโตอยู่เบื้องหลัง.
• ตำแหน่งนี้เป็นสัญญาระยะเวลา 12 เดือน โดยมีโอกาสต่ออายุสัญญาเมื่อครบกำหนดผ่านการลงนามในสัญญาฉบับใหม่.
• ผู้ที่ได้รับคัดเลือกจะทำงานอย่างใกล้ชิดกับผู้ก่อตั้งและทีมผู้บริหาร เพื่อช่วยให้การดำเนินงานของบริษัทเป็นไปอย่างราบรื่นในสภาพแวดล้อมของสตาร์ทอัพที่มีความรวดเร็วและเติบโตอย่างต่อเนื่อง.
• หน้าที่และความรับผิดชอบหลัก (Key Responsibilities).
• สนับสนุนงานธุรการและงานสำนักงานทั่วไปให้กับผู้บริหารและสมาชิกในทีม.
• ประสานงานและติดต่อสื่อสารกับหน่วยงานราชการ หน่วยงานกำกับดูแล และผู้ให้บริการภายนอก.
• จัดเตรียม จัดระเบียบ และดูแลรักษาเอกสาร บันทึก และระบบจัดเก็บข้อมูลของบริษัท.
• บันทึกและดูแลข้อมูลทางการเงินและบัญชีเบื้องต้น เช่น ใบแจ้งหนี้ ใบเสร็จรับเงิน รายการค่าใช้จ่าย และการติดตามการชำระเงิน.
• ประสานงานกับนักบัญชี ผู้จัดจำหน่าย ซัพพลายเออร์ และพันธมิตรทางธุรกิจตามความจำเป็น.
• ช่วยดำเนินการเกี่ยวกับการขอใบอนุญาต การต่ออายุใบอนุญาต และเอกสารด้านกฎระเบียบต่าง ๆ.
• สนับสนุนการจัดตารางนัดหมาย การประสานงานการประชุม และการจัดการเรื่องการเดินทาง.
• ดูแลการติดต่อสื่อสารทางจดหมาย โทรศัพท์ อีเมล และช่องทางอื่น ๆ ที่เกี่ยวข้องกับงานธุรการ.
• ช่วยจัดการบันทึกสินค้าคงคลัง อุปกรณ์สำนักงาน และเอกสารด้านการปฏิบัติงาน.
• สนับสนุนกิจกรรมของบริษัท งานชิมสินค้า งานแสดงสินค้า และกิจกรรมทางธุรกิจอื่น ๆ ตามความจำเป็น.
• ปฏิบัติงานธุรการอื่น ๆ ตามที่ได้รับมอบหมาย.
• พื้นที่ปฏิบัติงาน (Territory & Travel).
• ปฏิบัติงานหลักที่จังหวัดเชียงใหม่ โดยสำนักงานใหญ่ตั้งอยู่ที่อำเภอหางดง.
• อาจมีการเดินทางภายในพื้นที่เป็นครั้งคราว เพื่อเข้าพบหน่วยงานราชการ ซัพพลายเออร์ หรือพันธมิตรทางธุรกิจ.
• คุณสมบัติและข้อกำหนด (Qualifications & Requirements).
• มีประสบการณ์ด้านงานธุรการ ผู้ช่วยสำนักงาน ผู้ประสานงาน หรือบทบาทที่เกี่ยวข้อง จะได้รับการพิจารณาเป็นพิเศษ.
• มีทักษะการจัดการและการวางระบบงานที่ดี พร้อมใส่ใจในรายละเอียด.
• สามารถทำงานกับตารางข้อมูล (Spreadsheets) เอกสาร และข้อมูลทางการเงินเบื้องต้นได้.
• สามารถใช้งาน Microsoft Office (Word, Excel, Outlook) และ/หรือ Google Workspace ได้เป็นอย่างดี.
• มีทักษะการสื่อสารทั้งการพูดและการเขียนภาษาไทยในระดับดี.
• สามารถสื่อสารภาษาอังกฤษในระดับพื้นฐานได้ จะได้รับการพิจารณาเป็นพิเศษ.
• สามารถทำงานได้ด้วยตนเอง และบริหารจัดการหลายงานพร้อมกันได้อย่างมีประสิทธิภาพ.
• มีความเป็นมืออาชีพ มีความน่าเชื่อถือ และมีความกระตือรือร้นในการทำงาน.
• หากมีประสบการณ์ในการติดต่อประสานงานกับหน่วยงานราชการ หรือการจัดการเอกสารด้านกฎระเบียบ จะได้รับการพิจารณาเป็นพิเศษ.
• หากมีประสบการณ์ในธุรกิจอาหารและเครื่องดื่ม การบริการ การผลิต หรือสตาร์ทอัพ จะเป็นข้อได้เปรียบ แต่ไม่ใช่ข้อบังคับ.
• ค่าตอบแทนและสวัสดิการ (Compensation & Benefits).
• เงินเดือนพื้นฐาน 15,000 - 35,000 บาทต่อเดือน (ขึ้นอยู่กับประสบการณ์).
• ประกันสังคม.
• โบนัสตามผลการปฏิบัติงาน.
• โอกาสในการพัฒนาทักษะและความก้าวหน้าทางวิชาชีพ.
• ค่าเดินทางและค่าใช้จ่ายที่เกี่ยวข้องกับการปฏิบัติงานตามความจำเป็น.
• ความสำเร็จในตำแหน่งนี้จะมีลักษณะดังนี้ (What Success Looks Like in This Role).
• งานธุรการได้รับการดำเนินการอย่างถูกต้องและตรงเวลา.
• เอกสารและข้อมูลของบริษัทได้รับการจัดเก็บอย่างเป็นระบบและค้นหาได้ง่าย.
• การสื่อสารและการประสานงานกับหน่วยงานราชการและพันธมิตรภายนอกเป็นไปอย่างมีประสิทธิภาพ.
• การบันทึกข้อมูลทางการเงินและเอกสารที่เกี่ยวข้องมีความถูกต้องและทันเวลา.
• สามารถสนับสนุนการดำเนินงานประจำวันของบริษัทได้อย่างราบรื่น.
• สามารถระบุและแก้ไขปัญหาด้านงานธุรการได้อย่างเชิงรุก.
• สภาพแวดล้อมการทำงาน (Work Environment).
• วัฒนธรรมการทำงานแบบสตาร์ทอัพ: รวดเร็ว ยืดหยุ่น และมุ่งเน้นการเติบโต.
• มีโอกาสเสนอแนวคิดใหม่ ๆ และมีส่วนร่วมในการปรับปรุงกระบวนการทำงานภายในองค์กร.
• ได้รับความไว้วางใจให้รับผิดชอบงานและตัดสินใจในหน้าที่ของตนเอง.
• ทำงานอย่างใกล้ชิดกับผู้ก่อตั้งและทีมผู้บริหาร.
• วิธีการสมัคร (Application Process).
• ผู้ที่สนใจสามารถส่งประวัติส่วนตัว (CV) พร้อมแนะนำตัวสั้น ๆ เกี่ยวกับประสบการณ์และเหตุผลที่สนใจตำแหน่งนี้ มาที่.
• [email protected].

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience managing technical teams in charge of operating, maintaining, and troubleshooting electrical, mechanical, and controls infrastructure and components.
• Experience in mentoring or developing managers.
• Ability to communicate in English and Thai fluently, to support client relationship management in this region.
• Experience in mission critical systems operations (e.g., power generation, data center, refinery, chip fabrication, chemical processing, or other high consequence environments).
• Experience in collaborating with other business units to meet company goals and standards.
• Understanding of the operations and maintenance of electrical, control systems, and mechanical systems in a data center environment.
• Ability to develop and grow team members through coaching, mentoring, and training.
• Excellent people management and leadership skills.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and support physical facilities conditions. Some duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You'll provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.
• You will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
• Plan and execute campus operational budgets and expense forecasting, and create strategies for cost-effective operations focused on total cost of ownership.
• Be responsible for meeting service level agreements (SLAs) with internal teams on uptime, efficiencies and cost.
• Lead efforts to integrate Google-wide strategy and execution with internal and external business partners.
• Demonstrate critical thinking and innovation in approaching traditional data center and emergent challenges.
• Lead, develop, support, and coach the other site's facility managers.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Python, Kafka, Scala, Java, SQL, ETL

ประเภทงาน:

งานประจำ

• Design, build, and maintain batch and real-time data pipelines.
• Develop ETL/ELT processes and integrate data from multiple sources.
• Support data warehouse, data lake, and lakehouse platforms.
• Monitor data quality, performance, and system reliability.
• Troubleshoot data issues and collaborate with technical and business teams.
• Bachelor's degree in Computer Science, IT, Engineering, or related fields.
• At least 1-5 years of experience in Data Engineering, Database, or related roles.
• Strong SQL skills and proficiency in Python, Scala, or Java.
• Experience with relational databases and ETL/ELT tools.
• Experience with AWS, Azure, or Google Cloud Platform.
• Familiarity with Snowflake, BigQuery, Redshift, Synapse, Databricks, Airflow, dbt, Spark, or Kafka.
• Knowledge of Git, CI/CD, testing, monitoring, and data-quality practices.

ทักษะ:

Project Management

ประเภทงาน:

งานประจำ

Manage project documentation including shop drawings and material approvals. Track construction progress aligned with master and sub-plans. Coordinate with vendors and subcontractors. Support PM/PE with meeting preparation and project reporting. Location: Data Center, Chachoengsao. Schedule: Monday-Saturday, 8:00 AM-5:00 PM. Requirements: Bachelor's degree in engineering (Electrical/Mechanical); 2-5 years MEP experience; project management knowledge; MS Office proficiency; English language capability; available to start immediately or within 2 weeks.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Engineering & Platform.
• Develop and maintain ETL/ELT pipelines for data ingestion and transformation.
• Build and optimize Enterprise Data Warehouse and Data Lake solutions.
• Monitor and troubleshoot data pipeline failures and performance issues.
• Maintain and optimize SQL, Spark, and cloud-based data processing workloads.
• Analytics & Reporting.
• Develop BI dashboards and automated reports for business users.
• Support self-service analytics for internal departments and external partners.
• Improve reporting efficiency and data accessibility.
• Data Architecture & Governance.
• Design scalable data architecture for structured and unstructured data.
• Implement data governance, security, and data quality standards.
• Manage metadata, data lineage, and access control policies.
• Collaboration & Support.
• Work closely with business users to analyze requirements and propose technical solutions.
• Provide technical support and consultation to Data Analysts and stakeholders.
• Coordinate with infrastructure and application teams for system integration.
• Innovation & Improvement.
• Research emerging technologies related to Data Analytics, AI, and Cloud Platforms.
• Recommend process improvements to enhance system stability and operational efficiency.
• Bachelor's degree or higher.
• Data modeling, Data Analytics, Data warehousing, Data Governing for 0-3 years of experience.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

• Work with the team to propose new business models and opportunities in the energy sector, focusing on digital infrastructure and Data Center developments to create sustainable expansion opportunities in Thailand.
• Seek and select business opportunities in new projects such as Wind, Solar Rooftop, EV Chargers, และ Data Center Co-location/Enterprise facilities in line with the company's policies.
• Analyze the synergy between renewable energy solutions and high-demand energy consum ...
• Project Execution & Analysis.
• Collaborate in the development, planning, and analysis of business projects, strategies, and comprehensive financial models, including feasibility studies for Data Center site selection and energy infrastructure integration.
• Develop and implement projects and drive new Wind, Solar Rooftop, and EV Charger initiatives, specifically targeting energy supply solutions for Data Centers to ensure 24/7 green power reliability.
• Conduct due diligence and develop a deep understanding of clients' businesses, with a focus on the technical and energy requirements of the cloud service and telecommunications industries.
• Partnership & Financial Strategy.
• Build sustainable business partnerships with both public and private sectors, including Hyperscalers and Data Center operators, to enhance business growth.
• Study mergers and acquisitions (M&A) both domestically and internationally, evaluating potential targets in the renewable energy and digital infrastructure space.
• Formulate and execute financial and commercial strategies tailored to client objectives, addressing the unique CAPEX/OPEX structures of energy-intensive assets.
• Leadership & Reporting.
• Prepare and oversee the development of pitch decks and presentations that highlight the value proposition of integrated energy-data solutions.
• Prepare accurate marketing and progress reports systematically for management to support strategic decision-making.
• Support and guide team members in financial modeling and transaction execution (for senior roles).
• Bachelor's in Engineering,Electrical Engineering or related fields.
• Master's degree in Finance,MBA or related fields.
• At least 3-7 years of experience in developing Wind, Solar Rooftop and Digital infrastructure and Data Center Developments Projects, EV Charger projects or related work.
• Experience in business project planning and analysis, business strategy, financial model analysis, and feasibility studies.
• Experience in Investment Banking, Private Equity, Corporate Finance, or a related financial sector.
• Relevant experience in the energy industry will be considered a plus.
• Strong presentation and negotiation skills.
• Proficient in Microsoft Office.
• Good command of English, with a minimum TOEIC score of 700.
• Knowledge of sales processes and methods, as well as an overall understanding of energy business strategy development.
• Basic legal knowledge, including NDAs, PPAs, and land contracts.
• How to apply.
• Click APPLY NOW for submit your application.
• Interested candidates are invited to send with full resume, stating present and expected salaries, and enclosing a recent photograph to the address below.
• Working Location: Park Ventures Ecoplex, BTS Phloen Chit.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

ประเภทงาน:

งานประจำ

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, YouTube, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• We are looking for an Associate Director to join the largest and fastest growing online hotel booking platform in Asia based in Bangkok, Thailand. Agoda is a strongly data driven organization: as an Associate Director, your insights will impact strategic and tactical decisions driving business growth.
• As a pivotal leader in Data Analytics, you will drive transformative business impact by leading a team to deliver strategic, action-oriented insights. Your role is crucial in shaping data-driven decisions that enhance Agoda's competitive edge and operational efficiency.
• Spearhead analytical projects that align with stakeholder needs, from problem definition to insightful communication of results, influencing key areas like Marketing, Product, and Partner Services.
• Lead initiatives such as predictive modeling to optimize customer wait times and call demand, customer segmentation for personalized service, and the creation of innovative dashboards for business intelligence.
• Collaborate with stakeholders to uncover business opportunities, leveraging data to inform strategic decision-making.
• Proactively prioritize business strategies through insightful data analysis, driving growth and efficiency.
• Ensure timely, error-free delivery of analytical outputs, enhancing decision-making processes across the organization.
• Guide your team in defining business problems, extracting and analyzing data, and presenting findings through compelling visualizations.
• Balance multiple priorities, maintaining clear communication with stakeholders on progress and delivery timelines.
• Strengthen team resilience, mitigating risks of process or system failures.
• Mentor and develop team members, fostering a culture of continuous improvement and career growth.
• Bachelor's degree in mathematics, statistics, data science, computer sciences, engineering or a related degree program with outstanding academic results.
• 8+ years of relevant experience, including 4+ years of experience as a people manager.
• SQL proficiency: can extract data from large databases using SQL to develop data queries.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems.
• Strong business sense.
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds.
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines.
• Fluent in English both spoken and written - additional languages are a plus.
• Attitude.
• Curious, proactive, practical and solution-oriented with "Get it done!" attitude.
• Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels.
• Interested in telling an impactful story with analysis and smart data visualization, not just number crunch.
• Able to work in a highly multi-cultural team.
• Attentive to detail and committed to data integrity.
• Aware of the importance of discretion, confidentiality, and ethical behavior.
• What we offer.
• Be part of a dynamic and exciting data-driven multinational team in a successful and fast-growing tech company.
• A clearly defined career path will help you to continuously develop your skills.
• The chance to propose ideas to improve operations based on data and have an impact on the customer experience.
• Relocation package for employees joining from abroad.
• International health insurance.
• Annual performance bonus.
• Parking fees reimburse.
• Discount for Agoda employee booking on Agoda.com.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Multitasking, Accounting, Teamwork, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better. We empower all local businesses by creating an end-to-end ecosystem through our channel LINE MAN and Wongnai to connect and improve the daily life of consumers, riders, and local businesses nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced Data Scientist to lead the science behind our Fina ...
• Credit Risk Modeling & Measurement.
• Develop, implement, and maintain core credit risk models, including application scorecards, behavioral models, and PD / LGD / EAD estimation frameworks.
• Leverage diverse data sources transactional, behavioral, financial, sequential and alternative unstructured data for feature engineering and model innovation.
• Own ECL measurement and monitoring, ensuring models accurately reflect portfolio risk across products, cohorts, and vintages.
• Design robust model evaluation, back-testing, and recalibration processes to maintain performance under changing borrower behavior and market conditions.
• Quantify and manage trade-offs between disbursement growth, risk appetite, and profitability.
• Experimentation.
• Design and analyze controlled experiments or policy tests (e.g., limit changes, approval threshold adjustments) to measure causal impact on risk and profitability.
• Ensure changes to credit policies are supported by rigorous evidence and clearly understood risk implications.
• Cross-Functional Collaboration.
• Partner closely with the business team, product, engineering, accounting and operations to align modeling outputs with operational constraints and business objectives.
• Support model governance, documentation, and audit requirements, including alignment with internal risk frameworks and regulatory expectations.
• Bachelor Degree in Computer Science, Statistics, Quantitative Finance, Economics, or related fields.
• 5+ years of experience in data science, credit risk, or quantitative modeling; experience in BNPL, consumer lending, or fintech is strongly preferred.
• Strong understanding of PD, ECL, and portfolio risk concepts, with the ability to visualize and translate them into practical business decisions.
• Strong Python and SQL skills.
• Great communication skills, organization skills, multitasking and teamwork.
• Good command of English and Thai.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

node.js, Python

ประเภทงาน:

งานประจำ

• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Project Management, Power BI, ETL, English

ประเภทงาน:

งานประจำ

• Drive the development and implementation of AI & Data Management and Governance frameworks across SCGP. Ensure high data quality, secure data practices, and enable business units to effectively leverage data for decision-making.
• Collaborate with stakeholders to develop and implement AI & Data Management and Governance systems aligned with SCGP framework and roadmapExecute system development initiatives and ensure successful adoption across business units to support business objectivesPromote and support the development of Data & AI capabilities across teams i ...
• Bachelor's or Master's Degree in Computer Engineering, Computer Science, IT, Business IT, MIS, or related fields (Bachelor GPA > 2.70, Master GPA > 3.30)3-6 years of experience in data management, data governance, or related areasStrong knowledge in:Data warehouse design, ETL / data pipeline development, SQL, PythonData governance, data quality, metadata / master data management, PDPA / GDPRData tools such as Power BI, Power AppsStrong analytical thinking with ability to identify and solve data-related issues systematicallyGood stakeholder management and cross-functional collaboration skillsStrong planning and project management skills with ability to drive roadmap executionGood communication skills and ability to promote data & AI adoption across the organizationAttention to detail, adaptability, and continuous learning mindsetGood command of English in verbal and written (TOEIC > 550)Willing to work onsite at SCG Packaging Public Company Limited (Bangkok).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Power BI, Docker, SQL, ETL, English

ประเภทงาน:

งานประจำ

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency.
• across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Problem Solving, Architecture, Accounting, Power BI, YouTube, Python, Java, SQL, English, Thai

ประเภทงาน:

งานประจำ

• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process.
• here.
• For more information about business solicitation and recruiting scams, please click.
• here.
• We thank you for your interest in ExxonMobil.".
• Stay connected with us.
• Learn more at our.
• website.
• Follow us on.
• LinkedIn.
• and.
• X.
• Like us on.
• Facebook.
• Subscribe our channel at.
• YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for.
• the.
• successful delivery of business.
• intelligence information to the entire organization and is experienced in BI.
• development and implementations.
• Design stable, reliable and effective data.
• architecture and data mart.
• Understanding of BI best practices and be able.
• to create relational structures, dimensional data modeling, structured query.
• language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
• and validating results with business representatives.
• monitoring and tuning queries and data loads, addressing user questions.
• concerning data integrity, monitoring performance and communicating functional.
• and technical issues.
• Bachelor or Master Degree in Computer.
• Engineering, Computer Science, Technology information systems, or any other IT.
• related field.
• At least 3 years of experiences in data.
• warehousing development and architecture hands-on physical/logical database and.
• data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of.
• writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and.
• teamwork.

ประเภทงาน:

งานประจำ

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.