เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Compliance, Automation

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable and secure data pipelines on cloud platforms (AWS/GCP/Azure). - Architect and implement data lake, data warehouse, and data mart solutions for enterprise workloads.
• Develop and optimize ETL/ELT pipelines using modern tools and cloud-native services.
• Work closely with Data Analysts, Data Scientists, and Business teams to support analytical and ML use cases.
• Ensure high data quality, governance, security, and compliance across all data systems.
• Implement best practices in data modeling, data partitioning, orchestration, and workflows.
• Lead performance tuning, cost optimization, and reliability improvements for cloud data pipelines.
• Build CI/CD pipelines and infrastructure as code (IaC) for data platform automation.
• Evaluate and introduce new technologies and frameworks to enhance the data ecosystem.
• Mentor junior engineers and lead technical discussions within the data team.
• Requirements:Bachelor's or master's in computer science, Engineering, Data Science, or related fields.
• 5 years of experience in Data Engineering or related fields.
• AWS: Redshift, Glue, S3, EMR, Kinesis, Lambda GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, GCS.
• Azure: Synapse, ADLS, Data Factory, Databricks.
• Proficient in Python, SQL, and at least one distributed processing framework (Spark, Beam, Databricks).
• Strong experience with ETL/ELT pipelines and data workflow orchestration tools (Airflow, Cloud Composer, Dagster, Prefect).
• Experience with IaC (Terraform, CloudFormation, CDK).
• Excellent understanding of data modeling (OLTP, OLAP, star schema, snowflake schema).
• Familiarity with DevOps and CI/CD for data engineering.
• Strong problem solving skills and ability to work in a fast paced environment.
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ทักษะ:

Data Analysis, SQL, Linux, English

ประเภทงาน:

งานประจำ

• Support incident management and assist in troubleshooting production issues; participate in Root Cause Analysis (RCA) and help implement preventive actions to reduce recurring incidents.
• Support the defect management lifecycle, including defect triage, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and work with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manuals, and maintain documentation.
• Participate in knowledge sharing and continuously develop technical skills and best practices.
• Effectively handle multiple tasks and work under pressure while maintaining quality.
• QualificationsBachelor's degree in Computer Science, Computer Engineering, or related fields.
• 1-3 years of experience in Application Support, Production Support, or related roles..
• Knowledge of Cloud platforms; AWS knowledge is a plus.
• Familiarity with Linux/Unix operating systems.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Good communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong sense of ownership and accountability.
• Good English communication skills.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• Work in close collaboration with various teams to craft and execute design strategies that focus on delivering modern user experiences through the latest technologies..
• Develop and conceptualize a comprehensive UI/UX design strategy for our brand and products, collaborating effectively with different teams..
• Manage and direct the design cycle, including leading workshops and ensuring that all project requirements are meticulously met..
• Create detailed process flows, diagrams, wireframes, storyboards, sitemaps, visual design mockups, and high-fidelity prototypes to effectively convey complex interaction behaviors and business objectives..
• Lead in designing dynamic animations, Ul elements, and innovative tools, such as navigation menus, search boxes, tabs, widgets, and Al-driven components for our digital assets..
• Perform comprehensive testing of Ul components like CTAs, banners, page layouts, and design flows, ensuring optimal functionality and design for landing pages..
• Collaborate with sales, marketing, and technology teams, as well as other internal and external partners, to develop and deliver custom digital experiences tailored to user needs..
• Confidently communicate and justify design decisions to executive stakeholders, and effectively incorporate their feedback into design improvements..
• Provide guidance and expertise in implementing UX research methodologies and testing activities, aiming to analyze and predict user behaviors..
• Adhere to and uphold the brand's style, identity, and standards, particularly in areas of typography and graphic design.
• 0-3 years of experience in UX/UI or product design; exposure to AI, data-intensive platforms, or enterprise environments is a plus..
• A portfolio demonstrating end-to-end design fundamentals, from basic user research and interaction design to polished UI mockups and prototypes..
• Ability to consider user needs, business objectives, and basic technical constraints, translating them into clear and practical design solutions..
• Solid understanding of UX fundamentals, including interaction design, information architecture, and usability best practices..
• Proficiency in Figma for interface design and prototyping; experience with additional tools such as Adobe Creative Suite, FigJam, or Miro is a plus..
• Experience creating user flows, wireframes, high-fidelity UI, and interactive prototypes to effectively communicate design ideas..
• Ability to collaborate effectively within cross-functional product teams, working closely with designers, developers, and product managers..
• A passion for emerging technologies, artificial intelligence, and designing for innovation and impact..

ทักษะ:

ETL, Big Data

ประเภทงาน:

งานประจำ

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ทักษะ:

Data Analysis, Research, Market Research, English

ประเภทงาน:

งานประจำ

• Education: Fresh graduates in Computer Science. Do not apply if your most technically challenging work was an LLM-generated React website; please apply if you did machine learning, data analysis, or anything that required you to actually think and research..
• Business Understanding: The ability to understand business contexts and how your work impacts the company's bottom line is essential..
• Technical Core: Strong fundamentals in software engineering, algorithms and programm ...
• Soft Skills: Strong communication skills (English) and a drive to get things done..
• Mindset: We are looking for highly ambitious individuals who want to learn quickly, take ownership early, and grow faster than they would in a traditional graduate role..
• Conduct proofs-of-concept across new technologies, tools, and approaches the CTO is evaluating.
• Lead vendor and market research: identify options, assess fit, synthesize findings into clear recommendations.
• Write code and queries. Production-quality.
• Build and maintain data pipelines and data engineering work as needed.
• Perform data analysis to support product, operations, and strategic decisions.
• Own and track assigned cross-functional initiatives end to end, coordinating across teams.
• Support hiring, internal coordination, and day-to-day needs of the technical team.
• Company Description.
• PropertyScout is a Thailand-based Proptech startup providing a seamless end-to-end real estate transaction platform. Connecting over 5,500 agents and agencies with buyers, renters, and property owners, we serve thousands of satisfied customers monthly. Leveraging a rich database of most properties in Thailand and advanced technology, we digitize and automate 90% of real estate transactions, enabling agents to deliver exceptional service efficiently. With its focus on transparency and trust, PropertyScout has become a preferred platform for real estate in Thailand, as evidenced by hundreds of five-star reviews..
• Send your application now!.
• Please email your updated English CV to [email protected] using the format below.
• Email Subject: Technical Associate to the CTO - [Your Name].
• Please introduce yourself and answer the following questions in English.
• Why are you interested in this role?.
• When are you available to start?.
• What is your expected salary range?.
• What relevant experience do you have from internships, university projects, or coursework?.
• What is your proficiency level in spoken and written English?.

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ทักษะ:

Finance, Accounting, Docker

ประเภทงาน:

งานประจำ

• ตรวจสอบมาตรฐาน กำกับดูแล และบริหารจัดการด้าน IT Service Management.
• บริหารจัดการเหตุการณ์สำคัญ (Major Incident) พร้อมประสานงานกับทีมที่เกี่ยวข้องเพื่อแก้ไขอย่างรวดเร็ว.
• ทำหน้าที่เป็นผู้จัดการปัญหาด้านเทคโนโลยีสารสนเทศ (Problem Manager).
• ทำหน้าที่เป็นผู้จัดการดูแล Service Level Agreement ให้เป็นไปตามตามนโยบาย.
• บริหารจัดการกระบวนการด้าน IT Service Management (Incident, Problem, SLA).
• ประสานงานร่วมกับทีมต่าง ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา, ทีมโครงสร้างพื้นฐาน เป็นต้น.
• วิเคราะห์ปัญหาเชิงลึก (Root Cause), จัดทำรายงานประสิทธิภาพการให้บริการ และเสนอแนวทางพัฒนาให้ผู้บังคับบัญชาและกลุ่มธุรกิจที่ได้รับมอบหมาย.
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน IT Service Management อย่างน้อย 5 ปี.
• ใช้งานเครื่องมือ ITSM เช่น ServiceNow, Jira Service Management, BMC Remedy, FreshService, SolarWinds Service หรือเทียบเท่า.
• เข้าใจพื้นฐานระบบที่เกี่ยวข้องกับกระบวนการธุรกิจ เช่น Finance, Accounting, Sales, Logistics.
• มีความรู้ด้าน IT Infrastructure (System / Network / VM / Docker / DevOps - พื้นฐาน).
• มีทักษะวิเคราะห์ปัญหา Hardware / Software / Network.
• มีทักษะสื่อสารภาษาอังกฤษ ประสานงาน และทำงานเป็นทีม.
• มองภาพรวมธุรกิจได้ดี กระตือรือร้นและพร้อมเรียนรู้สิ่งใหม่ ๆ.
• Contact Information:-.
• K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com.
• Office of Human Capital
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.

ประเภทงาน:

งานประจำ

• Data Engineer Manager มีบทบาทสำคัญในการออกแบบ พัฒนา และบริหารจัดการโครงสร้างพื้นฐานด้านข้อมูล (Data Infrastructure) ขององค์กร เพื่อรองรับการใช้งานด้าน Analytics, AI และ Business Intelligence โดยทำหน้าที่นำทีม Data Engineer และทำงานร่วมกับทีม Data, Product และ Business เพื่อส่งมอบโซลูชันข้อมูลที่มีคุณภาพ มีเสถียรภาพ และสามารถขยายได้ (Scalable & Reliable).
• Data Architecture & Engineering
• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline)
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured)
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience - ประสบการณ์ 7-12 ปี ในด้าน Data Engineering / Data Platform - มีประสบการณ์บริหารทีม (2-5 ปีขึ้นไป) - มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง ________________________________________.
• Technical Skills - Programming: Python / SQL (Advanced) - Big Data Tools: Spark, Hadoop, Kafka - Workflow Tools: Airflow, DBT - Cloud Platform: AWS / Azure / GCP - Data Warehouse: BigQuery, Snowflake, Redshift ________________________________________.
• Skills & Competencies - Leadership & People Management - Problem Solving & Analytical Thinking - Stakeholder Management - Communication Skills (Technical & Non-technical) - Project / Delivery Management ________________________________________.
• Preferred Qualifications - มีประสบการณ์ด้าน Real-time Data / Streaming - มีความรู้ด้าน Data Governance / Data Security - มี Certification ด้าน Cloud หรือ Data Engineering.
• Contact Information K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• หากผ่านการพิจารณาต้องมีบุคคลค้ำประกันการทำงาน.
• กรอกใบสมัครที่ห้างทองมหานคร 168 (สำนักงานใหญ่)หน้าโรงเรียนราชินี.
• สามารถเข้ามาสมัครได้ทุกวันเวลา 11.00-15.00 น.
• เตรียมรูปถ่าย 1 นิ้ว 2 ใบ สำเนาบัตรประชาชน ทะเบียนบ้าน และวุฒิการศึกษา.
• สอบถามข้อมูลเพิ่มเติม โทร 096-1683477, Line ID: @mhn168.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

• Develop and maintain websites and web applications.
• Build responsive and user-friendly interfaces.
• Troubleshoot bugs and improve website performance.
• Collaborate with the team on new features and projects.
• Optimize websites for speed, functionality, and user experience.
• Assist with integrations, updates, and technical improvements.
• Support ongoing digital and platform development.
• Experience in web development and modern frameworks.
• Knowledge of HTML, CSS, JavaScript, and responsive design.
• Experience with frontend and/or backend development.
• Familiar with platforms, APIs, and website management.
• Strong problem-solving and debugging skills.
• Ability to work independently and within a team.
• Portfolio or previous projects preferred.
• Preferred Skills.
• React, Next.js, Node.js, WordPress, or similar frameworks.
• UI/UX understanding.
• Database and hosting knowledge.
• Experience with startups, fintech, or Web3 is a plus.
• Preferred Qualities.
• Fast learner and proactive mindset.
• Detail-oriented and organized.
• Able to work in a fast-paced environment.
• Strong communication and teamwork skills.
• Employment Type.
• Full-Time Preferred.
• Part-Time / Project-Based Opportunities Available.
• Bangkok, Thailand.

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Define and lead end-to-end AI architecture for enterprise programs from LLM / GenAI solutions to MLOps platforms and data foundations.
• Serve as the primary AI technology advisor to C-suite and senior client stakeholders, translating business challenges into scalable AI solutions.
• Architect AI systems leveraging hyperscaler platforms (AWS, Azure, GCP) including cloud-native AI/ML services, vector databases, and foundation model APIs.
• Lead technical pre-sales: shape proposals, respond to RFPs, and present solution architectures to clients.
• Manage and mentor a team of AI engineers, data scientists, and solution architects across client engagements.
• Drive practice development define AI delivery frameworks, reusable assets, and capability-building programs.
• Collaborate with Accenture global AI CoEs, Applied Intelligence teams, and alliance partners.
• Ensure responsible AI principles, security, and governance are embedded throughout solution design.
• 12+ years of experience in technology consulting or enterprise IT, with at least 5 years focused on AI/ML architecture and delivery.
• Proven track record architecting and delivering production-grade AI solutions LLMs, RAG pipelines, agentic AI, computer vision, or predictive analytics.
• Deep hands-on knowledge of AI/ML frameworks.
• Strong experience with hyperscaler AI platforms: Azure OpenAI Service, AWS Bedrock, Google Vertex AI, or equivalent.
• Experience leading large multi-disciplinary teams and managing complex, multi-million dollar client programs is a big plus.
• Excellent communication skills able to present technical concepts to executive audiences in Thai and English.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• จัดการ แก้ไข ซ่อมแซม บำรุงอุปกรณ์ภายในองค์กร เช่น Notebook, Printer ให้อยู่ในสภาพที่ดีและพร้อมใช้งาน.
• จัดการ User Account และการเข้าถึงภายในองค์กร เช่น Google Workspace, Asana, Slack รวมถึงการลบ Account.
• จัดการ แก้ไขและติดตั้ง หากอุปกรณ์ที่เกี่ยวกับ IT ภายในองค์กรมีปัญหา หรือใช้งาน Application ไม่ได้.
• ดูแล บริการจัดการ Asset ทางด้าน IT เช่น Notebook, Printer เป็นต้น.
• ดูแล แก้ไขตรวจสอบ Log ระบบ Internet ให้มีความพร้อมใช้งาน.
• จัดทำคู่มือการใช้งาน (Knowledge Base) สำหรับปัญหาที่พบบ่อย (FAQ) ดูแลและอัปเดตนโยบายการใช้งานอุปกรณ์ไอที (IT Asset & Security Policy) ให้สอดคล้องกับมาตรฐานบริษัทและกฎหมายที่เกี่ยวข้อง เช่น PDPA.
• สื่อสารนโยบายและวิธีการใช้งานระบบต่าง ๆ ให้พนักงานในองค์กรเข้าใจอย่างถูกต้องและทั่วถึง (Internal Communication).
• พัฒนาเครื่องมือที่เหมาะสมที่ช่วยทำให้งานของทีม IT รวมถึง User ทำงานได้มีประสิทธิภาพมากขึ้น ผ่านการใช้ AI tools.
• ทำงานนี้ได้พัฒนาอะไรบ้าง? .
• พัฒนาความรู้ในด้านการใช้งานเทคโนโลยี และโปรแกรมต่างๆจำนวนมาก ทั้งโปรแกรมบัญชีของเราเอง และอื่น ๆ.
• พัฒนาทักษะด้านการสื่อสาร การรับมือกับสถานการณ์ต่าง ๆ พร้อมการแก้ปัญหาเฉพาะหน้า.
• ได้ประสบการณ์ทำงานในธุรกิจ Tech Startup ที่มีการเติบโตอย่างรวดเร็ว.
• งานนี้เหมาะกับคนแบบไหน?.
• เคยมีประสบการณ์ในด้านการทำงาน IT Support อย่างน้อย 1 ปี.
• สามารถเพิ่ม/ลบ และแก้ไขปัญหาการใช้งานระบบ Google Workspace, Asana, Slack ได้.
• มีวิธีการแก้ปัญหาเฉพาะหน้าได้ดี.
• มีความกระตือรือร้นในการเรียนรู้งานใหม่ ๆ การแก้ไขปัญหา และค้นหาวิธีป้องกันปัญหาต่าง ๆ ก่อนที่จะเกิดขึ้น.
• มีความรับผิดชอบสูง และสามารถจัดลำดับความสำคัญของงานได้อย่างดี.
• มีความรู้พื้นฐานเรื่องความปลอดภัยด้าน IT เช่น 2FA, PDPA เบื้องต้น.
• มีความรู้ความเข้าใจในระบบ Windows/MacOS System.
• คนแบบไหนที่ทำงานกับ PEAK ได้ดี?.
• คนที่มี Growth Mindset หรือชอบพัฒนาตัวเอง เพราะเราอยากทำงานกับคนแบบนี้ เราอยากทำงานกับคนที่มีเราได้เรียนรู้ ได้สนุก และได้รู้สึกว่าได้พัฒนาตัวเองไปด้วยกัน.
• มีความคุ้นเคย หรือชอบเทคโนโลยี.
• มีความ Open Mind เปิดรับฟังความคิดเห็นของคนอื่นๆรอบตัว รับรู้ข้อมูลจากคนอื่นๆ.
• มีความกล้า กล้าสื่อสาร สื่อสารสิ่งที่คิด กล้าแสดงความคิดความเห็นอย่างตรงไปตรงมา กล้าที่จะเผชิญหน้ากับปัญหา.
• ทำงานกันเป็นทีม ช่วยกันพัฒนาซึ่งกันและกัน.
• มีความคิดที่ละเอียด รอบคอบ และใส่ใจกับผลงานที่ออกมา ให้ผลงานที่ดีเป็นสิ่งที่เป็นตัวแทนตัวตนของตัวเอง.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• หากผ่านการพิจารณาต้องมีบุคคลค้ำประกันการทำงาน.
• กรอกใบสมัครที่ห้างทองมหานคร 168 (สำนักงานใหญ่)หน้าโรงเรียนราชินี.
• สามารถเข้ามาสมัครได้ทุกวันเวลา 11.00-15.00 น.
• เตรียมรูปถ่าย 1 นิ้ว 2 ใบ สำเนาบัตรประชาชน ทะเบียนบ้าน และวุฒิการศึกษา.
• สอบถามข้อมูลเพิ่มเติม โทร 096-1683477, Line ID: @mhn168.

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience with presenting to technical stakeholders or executive leaders.
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
• Experience with promoting technical solutions in Cloud Artificial Intelligence (AI).
• Experience with managing the business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).
• Experience with security concepts (e.g., encryption, identity management, access control, attack vectors).
• Experience with migrating applications and services to cloud platforms.
• Experience with building technical strategies to uncover new workloads with customers.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• In this role, you will partner with business teams to differentiate Google Cloud Platform (GCP) to the customers and serve as the customer s primary technical partner and advisor, engaging in technical-led conversations to understand business issues. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use the expertise to architect cross-pillar cloud solutions that solve business issues. You will drive the technical win and define the delivery and consumption plans while using the business acumen and presentation skills to engage with technical and business leaders, and present solutions. You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics, etc. You will blend business expertise, market knowledge and direct technical engagement to show the value of GCP portfolio.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Develop and own the technical account plan and strategy, participating in planning and supporting business goals.
• Combine business, programming, and solutions architecture expertise to show the value of Google Cloud Platform across the portfolio through demos, pilots and workshops.
• Architect cross-pillar solutions, drive technical wins, and define delivery plans for customers, continue to lead the technical engagement in the solution phase.
• Facilitate the post-business transition by supporting pricing activities and transitioning the delivery plan to implementation teams.
• Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
• 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:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• หากผ่านการพิจารณาต้องมีบุคคลค้ำประกันการทำงาน.
• กรอกใบสมัครที่ห้างทองมหานคร 168 (สำนักงานใหญ่)หน้าโรงเรียนราชินี.
• สามารถเข้ามาสมัครได้ทุกวันเวลา 11.00-15.00 น.
• เตรียมรูปถ่าย 1 นิ้ว 2 ใบ สำเนาบัตรประชาชน ทะเบียนบ้าน และวุฒิการศึกษา.
• สอบถามข้อมูลเพิ่มเติม โทร 096-1683477, Line ID: @mhn168.

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• ดูแลระบบ Network และ Server Infrastructure.
• บริหาร Linux Server, Proxmox, Docker.
• ดูแล Web / Database / Email / Name Server.
• แก้ไขปัญหา Hosting, SSL, VoIP และระบบโดเมน.
• Support ลูกค้าด้านเทคนิคอย่างมืออาชีพ.
• มีประสบการณ์ Linux Server และ Network Infrastructure.
• ใช้งาน Proxmox, Docker และ Database (MySQL/MariaDB) ได้.
• เข้าใจ Web Server (Apache/Nginx) และระบบโดเมน.
• แก้ไขปัญหา Hosting, Email, SSL, VoIP ได้.
• สื่อสารดี รักการแก้ปัญหา และทำงานภายใต้แรงกดดันได้.
• ทำไมต้อง DotArai?.
• ได้ทำงานกับระบบจริงที่ท้าทาย.
• ทีมงานมืออาชีพ พร้อมซัพพอร์ต.
• โอกาสเติบโตในสาย Infrastructure & DevOps.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• Field Maintenance: Travel to various store locations using your personal vehicle or public transport to perform both preventive and corrective maintenance..
• Hardware Mastery: Install, configure, and troubleshoot laptops, printers, POS terminals, handheld scanners, and other essential retail hardware..
• System Health: Perform regular health checks and monitoring to ensure 100% uptime, aiming for high Mean Time Between Failures (MTBF)..
• Inventory & Budget: Track IT assets and assist in cost allocation and budget monitoring for store equipment..
• Technical Support & Incident Resolution.
• Rapid Response: Serve as the primary point of contact for store teammates, managing incidents from first contact to resolution (Targeting high FCR rates)..
• Network Stability: Monitor and maintain store networks, including Access Points, Switches, and 5G failover systems..
• Root Cause Analysis: Don t just fix investigate. Analyze recurring issues to implement permanent solutions and reduce the incident backlog..
• Security, Resilience & Empowerment.
• Data Protection: Execute and test backup and disaster recovery procedures to ensure business continuity..
• Cybersecurity: Implement security best practices and ensure all systems are patched and compliant with company standards..
• Teammate Training: Empower store staff by conducting training sessions on new digital tools and security awareness..
• Mobility & Flexibility: You are comfortable traveling to different store locations and are adaptable with your working hours to align with store opening times and project deadlines..
• Technical Expertise: 2+ years of experience in IT support, specifically with hardware (POS, Scanners) and networking (APs, Switches, 5G)..
• Communication: Good command of English to collaborate with regional teams and technical references..
• Passion: You genuinely love sports and bring that same energy and "team-player" mentality to your work..
• Problem Solver: You are highly responsible, flexible, and capable of working in a fast-paced retail environment..
• Have our company core values and express them through your actions Vitality, Responsibility, Generosity, and Authenticity.
• Decathlonian Benefits.
• Be a shareholder, with an exclusive annual option to invest in Decathlon s Shares..
• Provident fund..
• Group insurance includes life, health, and dental insurance..
• Performance bonus..
• Employee discount..
• A learning environment where you can dive deep and make an impact..
• Wide range of career opportunities locally and globally..

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Negotiation, Project Management, Sales, English

ประเภทงาน:

งานประจำ

• Act as a technical partner in consultative selling, translating client requirements into scalable and practical solutions.
• Gather and analyze requirements from enterprise and government clients.
• Collaborate with Solution and Architecture teams to design end-to-end solutions.
• Prepare Terms of Reference (TOR), technical proposals, and supporting documentation for project bidding and presentations.
• Present and explain solutions to clients, both technical and non-technical stakeholders.
• Support end-to-end bidding processes, especially for government (B2G) projects.
• Coordinate with vendors, partners, and internal teams to ensure solution alignment and project readiness.
• Work closely with Sales and Business Development teams to drive deal success.
• Bachelor s degree in Engineering, Computer Science, IT, or related fields.
• 1-2 years of experience in Presales, Solution Design, or Technical Consulting.
• Solid understanding of Application, Cloud, Security, and System Integration.
• Exposure to government bidding processes (B2G) is a plus.
• Strong communication and presentation skills, with the ability to simplify complex technical concepts.
• Analytical mindset with the ability to interpret requirements and translate them into solutions.
• Proactive, adaptable, and comfortable working in a fast-paced environment.
• Preferred Qualifications.
• Basic understanding of B2G sales cycles, government procurement, and TOR analysis.
• Experience working with cross-functional teams in project-based environments.
• Why Join Us .
• Be part of high-impact projects in Deep Tech.
• Gain hands-on experience in end-to-end solutioning and bidding processes.
• Work in a fast-growing, innovation-driven environment.
• Opportunity to grow into Solution Consultant / Presales Specialist.
• Warehouse 26
• BTS Phrom Phong.
• MRT Queen Sirikit National Convention Centre..