เงื่อนไขการค้นหา

ทักษะ:

node.js, Java, Spring Boot

ประเภทงาน:

งานประจำ

• Develop and maintain robust backend services using Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
• Design and build scalable, event-driven, and failure-tolerant systems. Advocate for and implement best practices in DevSecOps, test-driven development (TDD), and continuous delivery pipelines.
• Collaborate on diverse projects in domains such as Payment, Cart, Fulfillment, Search, and Recommendation.
• Vector Search: Working with vector similarity search to enhance relevance.
• ML Models (XGBoost, CNNs): Applying machine learning models for search relevance and personalization.
• LLMs & PEFT: Fine-tuning large language models using Parameter-Efficient Fine-Tuning (PEFT).
• (These skills are not mandatory but would be considered a strong plus.).
• 7+ years of experience in backend development, focusing on Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
• Strong knowledge of PostgreSQL, Redis, distributed locking mechanisms, functional programming, design patterns, and advanced isolation levels.
• Hands-on experience with REST and GraphQL API development.
• Familiarity with Kafka, SQS, Kubernetes, and containerized application deployment.
• Practical experience with OLAP databases like BigQueryand Redshift, analytics tools such as Mixpanel and Amplitude, and AI platforms like SageMaker, MLflow, and Vertex AI.
• Knowledge of NLP, data structures like graphs, BK Trees, B+ Trees, and the Pub/Sub paradigm.
• Excellent communication, collaboration, and problem-solving skills with a growth-oriented mindset.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.

ทักษะ:

System Security, Good Communication Skills, Project Management

ประเภทงาน:

งานประจำ

• Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs).
• Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures.
• Performs installation, repair, and preventative maintenance of computer systems and related technologies.
• Tracks and records system performance and utilization metrics.
• Analyses IT systems to identify areas for improvement and developing solutions to optimize business processes and IT operations.
• Participates in the development of IT infrastructure projects.
• Maintains access control, data integrity, and file system security for computer / data center environment.
• Performs any other duties as required by the IT Operations management team.
• To thrive in this role, you need to have: Developing knowledge of data center applications and systems.
• Developing proficiency in hardware and software systems like servers, networks and databases.
• Ability to collect and analyse system performance data to identify issues and improve IT systems.
• Ability to effectively communicate technical information to non-technical people.
• Good communication skills, both written and verbal.
• Good analytical and problem-solving skills to troubleshoot issues and devise efficient solutions.
• Developing project management skills.
• Academic qualifications and certifications: Bachelor's degree or equivalent in Computer Science or Information Technology or related field.
• Relevant vendor certifications such as ITIL foundation.
• Additional beneficial certifications such as CNET and CDCDP etc.
• Required experience: Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting.
• Moderate level experience in a similar role, with strong understanding of IT and data center operations.
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• 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.

ทักษะ:

Power BI, SQL, Python

ประเภทงาน:

งานประจำ

• Administer and monitor Azure-based data services, including Azure Databricks, Azure Blob Storage, and Power BI.
• Manage and support Databricks workspaces, clusters, and user access.
• Implement and enforce security best practices across data platforms.
• Monitor system performance and perform tuning and troubleshooting as needed.
• Assist in setting up and maintaining CI/CD pipelines for data workflows.
• Collaborate with cross-functional teams to ensure data platform reliability, scalability, and availability.
• Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 1-2 years of experience in a Data Engineer, System Administrator, or similar role.
• Strong proficiency in SQL, Python, PowerShell, and Bash scripting.
• Familiarity with cloud data platforms such as Azure, AWS, GCP, and Databricks.
• Solid understanding of data engineering concepts and cloud infrastructure.
• Experience with Azure DevOps or other CI/CD tools.
• Experience with Infrastructure as Code tools such as Terraform is a plus.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.

ทักษะ:

Compliance, UNIX, Automation, English

ประเภทงาน:

งานประจำ

• Provide consultation on server/storage architecture and modern open system technologies.
• Design and deliver infrastructure solutions aligned with IT standards and business requirements.
• Lead and coordinate IT infrastructure projects, ensuring quality, budget, and timeline adherence.
• Manage vendors and outsourcing teams to deliver high-performance IT operations.
• Evaluate new technologies, conduct proof of concepts, and drive modernization initiatives.
• Ensure compliance with IT governance, security, and service-level agreements.
• Mentor teams and provide technical guidance to support organizational growth.
• QualificationsBachelor s or Master s in Computer Engineering, Computer Science, or related field.
• 4+ years of experience in IT infrastructure design, management, and operations.
• Strong expertise in UNIX/Windows platforms, storage, backup systems, and middleware..
• Hands-on experience with virtualization, containers, and cloud platforms (AWS, Azure, GCP)..
• Knowledge of hyperconverged infrastructure and automation (e.g., Ansible)..
• Strong leadership, communication, and vendor management skills.
• Relevant certifications (Red Hat, Microsoft, VMware, OpenShift) preferred.
• Banking or financial services experience is a plus..
• Fluent in Thai and English.
• Only shortlisted candidates will be contacted.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• Contact: Talent Acquisition Center:.
• 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).
• 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.

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Validate enterprise network & services across Bangkok and regional areas, ensuring resource availability and service readiness.
• Design end-to-end network solutions and produce High-Level Design (HLD) and Low-Level Design (LLD) documentation.
• Assess and plan network resources to support enterprise service deployment and scalability.
• Collaborate with enterprise product and technical consultant teams on solution design and integration.
• Conduct Proof of Concept (POC) activities, including testing and validating proposed network solutions.
• Support equipment evaluation and approval processes to ensure technical compliance and performance.
• Provide technical recommendations and contribute to continuous improvement of network architecture and service delivery.
• Bachelor s degree in Computer Engineering, Telecommunications, or a related field.
• Minimum of 5 years experience in network engineering, preferably in an enterprise or telecom environment.
• Strong knowledge of network design principles, including routing, switching, and security.
• Proven experience in creating HLD and LLD documentation.
• Familiarity with enterprise-grade networking equipment (e.g., Cisco, Juniper, Huawei).
• Excellent communication and collaboration skills.
• Programming skills in Python, SQL are an advantage.

ทักษะ:

Flutter, Java, Spring Boot

ประเภทงาน:

งานประจำ

• Must have strong Flutter and Java Spring boot experience.
• You will join KEPT team, Krungsri personal finance application.
• Highly advantage if you have knowledge in core banking loan/deposit..
• For this role you will get to.
• Joining one of the largest scale leading mobile application development team in Banking field, be a part of "Kept", personal finance mobile application from Krungsri..
• App Development: Design, develop, and maintain mobile applications for Android and iOS platforms using Flutter..
• Integration: Integrate third-party APIs, libraries, and services to enhance app functionality..
• Code Quality: Write clean, maintainable, and efficient code while following best practices and design patterns..
• Testing: Conduct unit and integration testing to ensure the reliability and performance of applications..
• Performance Optimization: Identify and resolve performance bottlenecks and bugs in the applications..
• Version Control: Use version control systems (e.g., Git) to manage code repositories and collaborate with team members..
• Collaboration: Working directly with Engineer Team Leader and System Analyst to conceptualized the requirements from Application Owner for building, testing and products deployment.
• Apply now if you have.
• Bachelor s degree/Master s degree in Management Information System, Computer Science, Computer Engineering, IT, Business Administration or related fields.
• 4+ years of experience in Flutter and Java Spring boot development role.
• Good knowledge in financial services industry.
• 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 (2 days in office per week minimum).
• 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.
• 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).

ประเภทงาน:

งานประจำ

• We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.
• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
• Optimize data storage and retrieval processes for improved performance.
• Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security measures and access controls.
• Troubleshoot data-related issues and optimize system performance.
• Stay up-to-date with emerging technologies and industry trends in data engineering.
• Document data architectures, pipelines, and processes.
• Bachelor's degree in Computer Science, Engineering, or a related fields 2. 2-4 years of experience in data engineering or similar roles 3. Strong programming skills in Python, Java, or Scala 4. Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL) 5. Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services 6. Knowledge of data warehousing concepts and ETL best practices 7. Experience with version control systems (e.g., Git) 8. Understanding of data cleansing, data modeling and database design principles 9. Solid problem-solving skills and attention to detail 10. Good communication skills and ability to work with technical and non-technical team members.
• Experience with Azure data platform (ADF, Databrick) 2. Familiarity with data visualization tools (e.g., Tableau, Power BI) 3. Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources) 4. Experience with containerization technologies (e.g., Docker).
• Experience to deal with large data and optimization skill in development.
• Understanding of machine learning concepts and data science workflows.

ทักษะ:

Research, ETL, Automation

ประเภทงาน:

งานประจำ

• Lead the design and development of data architecture, ensuring scalability, security, and alignment with business strategy.
• Oversee the collection, transformation, and integration of data from multiple internal and external sources.
• Conduct advanced research and troubleshooting to address complex business and technical problems.
• Design, build, and optimize data pipelines and ETL processes to handle large-scale and real-time data.
• Implement automation solutions to minimize manual intervention and improve data efficiency.
• Provide technical leadership and mentorship to junior engineers, ensuring best practices in coding, testing, and deployment.
• Collaborate with cross-functional stakeholders including Data Scientists, Analysts, and Business Leaders to deliver actionable insights.
• Evaluate and recommend new tools, frameworks, and technologies to enhance data engineering capabilities.
• Job SpecificationBachelor s Degree in Information Technology, Computer Science, Statistics, Mathematics, Business, or a related field (Master s Degree is a plus).
• Minimum of 5 years experience in data engineering, with at least 2 years in a senior or lead role.
• Proven expertise in the data analytics lifecycle, including business problem framing, KPI/metrics design, exploratory analysis, and presenting data insights.
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and advanced programming skills in Python, Java, PySpark.
• Solid knowledge of data processing, ETL frameworks, data warehousing, and messaging queue systems (e.g., Kafka).
• Demonstrated experience in designing highly scalable, resilient, and secure data systems.

ทักษะ:

Research, Python, TensorFlow

ประเภทงาน:

งานประจำ

• Design and develop state-of-the-art AI models and algorithms to solve complex business challenges.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and optimize AI systems to ensure high performance, scalability, and reliability.
• Continuously research and stay up-to-date with the latest advancements in AI and machine learning.
• Mentor and guide junior team members, sharing your expertise to drive team growth and development.
• Work closely with the business to identify new opportunities for AI-driven innovation.
• 8+ years of experience in software engineering, with a strong focus on AI and machine learning.
• Proficient in Python, TensorFlow, PyTorch, or other popular AI/ML frameworks.
• Solid understanding of AI algorithms, neural networks, and deep learning techniques.
• Experience in designing and implementing scalable, production-ready AI solutions.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication skills to effectively collaborate with cross-functional teams.
• A passion for staying up-to-date with the latest AI advancements and technologies.

ทักษะ:

Accounting, Finance, SAP, English

ประเภทงาน:

งานประจำ

• Participate in data gap analysis to identify shortcomings in the current system and gather business requirements from users.
• Support the design and preparation of documents related to functional system specifications and process flows.
• Assist in providing advice on accounting treatments and policies related to new systems.
• Contribute to financial information system projects, such as SAP or Odoo or related application implementation and Finance Transformation initiatives.
• Assist in system testing to ensure the system functions correctly as designed.
• Provide post-Go-Live support to end-users, including troubleshooting and issue resolution, to ensure a smooth transition and system adoption.
• Connect to, extract, and manage data from the business line's central Data Lakehouse using tools like SQL and Python for analytical preparation.
• Develop and design insightful dashboards and analytical reports to support management decision-making, using modern BI tools such as Power BI or Tableau.
• Driving the use of AI.
• Champion the adoption of AI-powered tools to automate routine financial processes, enhancing operational efficiency and data accuracy.
• Leverage AI-driven analytics to generate predictive insights, improve financial forecasting, and support strategic decision-making.
• Bachelor s degree in accounting or finance.
• Approximately 5 years of experience in accounting and finance, with an understanding of various accounting and finance systems.
• Certified in Business Analytics, Data and Analytics with Power BI, and Artificial Intelligence: Machine Learning.
• Proficient in Microsoft Office (Word, Excel, PowerPoint, Power Platform).
• Skilled in using Power BI, SAP or Odoo.
• Basic knowledge of programming languages such as Python.
• Able to work effectively both independently and as a team member.
• Capable of working creatively in a stressful environment.
• Good command of 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.

ประเภทงาน:

งานประจำ

• ปฏิบัติงานติดตั้ง Configure กำหนดสิทธิ์การเข้าถึง ทดสอบ วิเคราะห์ปัญหาด้านระบบเครือข่าย (LAN, WAN, Wireless) เบื้องต้น
• ตรวจสอบ ติดตั้ง ดูแล ปรับปรุงพัฒนา แก้ไขการทำงานระบบเครือข่ายของหน่วยงานต่าง ๆ ให้เป็นไปตามวัตถุประสงค์ของการให้บริการระบบเครือข่าย
• ดูแล ประสานงานโครงการที่เกี่ยวข้องกับระบบเครือข่าย
• ปฏิบัติงานอื่น ๆ ตามที่ได้รับมอบหมาย.

ทักษะ:

Excel

ประเภทงาน:

งานประจำ

• คิด วิเคราะห์ นำเสนอ และดำเนินการปรับปรุงการทำงานโดยการนำระบบ เทคโนโลยี หรือกระบวนการทำงานแบบ Automate มาใช้งาน.
• บริหาร ดูแล และจัดการระบบ Contact center เพื่อจัดการให้ระบบใช้งานได้อย่างมีประสิทธิภาพ และสอดคล้องกับการทำงานของธุรกิจ (Automatic call distributor (ACD), Computer Telephony Integration (CTI), การจัดการข้อมูลลูกค้า (Customer Profile), การบริหารจัดการ Skill, การโอนสายแบบ Exclusive Call /Hunting Call บนระบบ, Category Management, etc.).
• สนับสนุน ตรวจสอบ ดูแล แนะนำ และซ่อมบำรุงเบื้องต้น เพื่อให้ระบบ และอุปกรณ์ต่างๆอยู่ใน ...
• จัดทำ และวิเคราะห์ข้อมูล Customer Satisfaction ของลูกค้า และนำมาเพื่อการปรับปรุง แก้ไขการบริการของพนักงาน.
• ประสานงานกับหน่วยงานที่เกี่ยวข้อง (ICT, SBP, Vendor, etc.) และร่วมแก้ไขปัญหาการใช้งาน และประสานงานกับหน่วยงานที่เกี่ยวข้องเพื่อให้ธุรกิจสามารถดำเนินการได้อย่างต่อเนื่องและมีประสิทธิภาพ.
• แนะนำวิธีใช้เครื่องมือในการวิเคราะห์ เพื่อให้ทีมงานสามารถใช้งานได้อย่างมีประสิทธิภาพและ เป็นมาตรฐานของระบบ เช่น รายงานยอดขาย, Order Status, ข้อมูล Inbound-Outbound, Excel file Data.
• บริหาร ดูแล และจัดการระบบ Knowledge Management ให้มีความถูกต้อง และเหมาะสมต่อการใช้งาน.
• การสนับสนุนข้อมูลเพื่อนำไปวิเคราะห์ Productivity ของหน่วยงาน และการสนับสนุนงานพัฒนาบุคลากรภายใน.
• อื่น ๆ ตามที่ได้รับมอบหมาย.

ทักษะ:

SAP

ประเภทงาน:

งานประจำ

• Develop, maintain, and enhance SAP-ABAP programs.
• Design and implement ALV reports, Smart Forms, User Exits, Queries, and Dialog Programs to optimize business processes.
• Collaborate with cross-functional teams, including business analysts and end-users, to gather and analyze requirements.
• Troubleshoot and resolve technical issues in SAP-ABAP applications, ensuring optimal system performance.
• Work independently and within a team to develop and deploy SAP solutions in alignment with business needs.
• Communicate effectively with stakeholders to understand business requirements and translate them into technical solutions.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience 3 years as an SAP-ABAP Programmer.
• Background in the food industry or similar supply chain environments is a plus.
• In-depth knowledge of SAP-ABAP programming language.
• In-depth knowledge of Report ALV, Smart forms, User Exit, Query, Dialog program.
• Strong problem-solving and analytical skills.
• Ability to work independently and collaboratively in a team-oriented environment.
• Excellent communication skill.

ทักษะ:

SAP, Java, XML

ประเภทงาน:

งานประจำ

• Design and implement integration scenarios using SAP PI/PO (dual-stack and single-stack).
• Develop and maintain interfaces using SOAP, REST, IDoc, RFC, and JDBC adapters.
• Monitor and troubleshoot PI/PO interfaces and provide timely resolution.
• Collaborate with functional teams to understand integration requirements and translate them into technical solutions.
• Perform system upgrades, patches, and performance tuning..
• Design and develop custom Fiori applications using SAPUI5 and OData services.
• Extend standard Fiori apps and customize SAP Launchpad configurations.
• Collaborate with ABAP and backend teams to develop and expose OData services.
• Ensure responsive and user-friendly UI/UX design principles are applied.
• Perform unit testing, integration testing, and support UAT..
• Bachelor s or Master s degree in Computer Science, Information Technology, or related field.
• Minimum 7 years of experience in SAP PI/PO and 3 years in SAP Fiori/UI5 development.
• Strong knowledge of SAP NetWeaver, ESR, ID, and NWDS.
• Proficient in Java, XML, XSLT, and web services.
• Experience with SAP Gateway, OData, and SAP Cloud Platform (optional).
• Good understanding of SAP modules (e.g., MM, SD, FI) and business processes.
• Excellent communication and documentation skills.
• SAP certifications in PI/PO or Fiori/UI5 are a plus..

ทักษะ:

Project Management

ประเภทงาน:

งานประจำ

• จัดทำงบประมาณในการทำโครงการ พร้อมควบคุมงบประมาณในโครงการที่รับผิดชอบ.
• ศึกษาทำความเข้าใจกระบวนการทำงานของธุรกิจ และสามารถวิเคราะห์ประเด็นปัญหา/ความต้องการทางธุรกิจได้ (Business Requirement) และออกแบบระบบให้มีประสิทธิภาพ รองรับกระบวนการทางธุรกิจใหม่ที่เกิดขึ้น.
• ศึกษาทำความเข้าใจในธุรกิจค้าปลีก เพื่อวิเคราะห์และพัฒนาระบบในการบริหารร้านค้าปลีก เพื่อสนับสนุนการการใช้งานในร้านค้าพันธมิตร.
• ศึกษารายละเอียดโครงการเพื่อจัดทำแผนการดำเนินงาน, ข้อมูลทางเลือกในการลงทุน และนำเสนอต่อผู้บริหารเพื่ออนุมัติ ตามหลักของการบริหารโครงการ Project Management.
• ติดตามการดำเนินงานและอัพเดตแผนงาน เพื่อรายงานความคืบหน้าโครงการต่อผู้บริหารได้.
• ศึกษาความต้องการทางธุรกิจ พร้อมนำเสนอกระบวนการทำงานใหม่ที่มีประสิทธิภาพ เพื่อสรุปเป็นเอกสารสำหรับพัฒนาระบบตามมาตรฐาน.
• สามารถพัฒนาโปรแกรมและบริหารจัดการสร้างฐานข้อมูลได้อย่างมีประสิทธิภาพ.
• ดำเนินการทดสอบระบบให้ได้ตามมาตรฐาน Non-Functional และ Functional และดำเนินการทดสอบให้ได้ตาม Requirement Spec พร้อมทั้งจัดทำเอกสารการทดสอบ Test script ร่วมกับทีมพัฒนาระบบ และจัดทำรายงานผลการทดสอบเพื่อนำเสนอต่อผู้บริหาร.
• จัดทำเอกสารคู่มือการใช้งานระบบที่พัฒนาและระบบที่เกี่ยวข้อง เพื่อใช้ในการอบรมให้กับผู้ใช้งาน อีกทั้งยังต้องเก็บรวบรวมประเด็นที่ต้องพัฒนาเพิ่มเติม เพื่อรวบรวมในการทำแผนพัฒนาต่อยอดระบบใน Phase ต่อไป.
• ดำเนินการฝึกอบรมการใช้งานให้กับผู้ใช้งานระดับต่างๆ ให้เป็นไปตามวัตถุประสงค์ของการพัฒนาระบบ.
• ดำเนินการวางแผนการดูแลระบบให้สามารถใช้งานได้อย่างมีประสิทธิภาพ วางแผนการปรับปรุงและพัฒนาระบบให้เหมาะสมกับการเปลี่ยนแปลงของเทคโนโลยี และเป็นไปตามนโยบายบริษัท.
• ปริญญาตรีด้านวิทยาการคอมพิวเตอร์, คอมพิวเตอร์ธุรกิจ, เทคโนโลยีสารสนเทศ หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานการพัฒนาระบบงานและรายงานอย่างน้อย 5 ปีขึ้นไป.
• มีทักษะด้านการสื่อสารที่ดี มีสามารถควบคุมและบริหารทีมงาน.
• มีความรู้ความสามารถในการวิเคราะห์ระบบงาน หรือ มีความรู้ความสามารถในการพัฒนาระบบงานเป็นอย่างดี.
• มีความสามารถในการจัดการDatabase ได้อย่างดี.
• ติดต่อสอบถาม.
• คุณสวรินทร์.
• สำนักทรัพยากรบุคคล.
• บริษัท มีชัย มีโชค จำกัด.
• อาคารแสงโสม ถนนวิภาวดีรังสิต แขวงจอมพล เขตจตุจักร กรุงเทพมหานคร 10900.

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
• 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 (2 days minimum 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.
• 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).

ทักษะ:

Tableau, SQL, Power BI

ประเภทงาน:

งานประจำ

• Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent.
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic.
• Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations).
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers.
• Enable and support self-service analytics by building curated datasets and reusable components.
• Ensure data accuracy, consistency, and security in BI assets.
• Bachelor s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field.
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset).
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling).
• Comfortable working with large datasets and cross-functional teams.
• Strong attention to detail and a passion for turning data into actionable insights.
• Nice to Have.
• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses).
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets.
• Exposure to big data environments like Cloudera and Databricks..

ประเภทงาน:

งานประจำ

• Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
• Develop data pipeline automation using Azure technologies, Databricks and Data Factory
• Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects
• Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes
• 3 years+ experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.

ทักษะ:

Software Development, CSS, Web Services

ประเภทงาน:

งานประจำ

• Demonstrates an extensive knowledge of frontend technologies and/or thought leadership level of a technology, providing direction, mentoring and advising others on design, development and / or implementation best practice and processes.
• Continues to build and demonstrates a breadth of knowledge of various domains within technology, understanding the linkages and dependencies of projects/work and the key senior stakeholders.
• Crafts and implements technical solution designs and resolves issues.
• Supports technical roadmaps for the timely implementation of a technical solution strategy.
• Advises stakeholders internally as a software development SME, applying deep expertise of software development.
• Evaluates how new technology or techniques may better implement the strategy, proposes patterns for its use and owns the development of reference code to set a standard.
• Leads the delivery of critical projects, working autonomously and with little direction; may ensure completion of work from other team members, mentoring and delegating work when required.
• Builds positive relationships with internal and external stakeholders, growing own network and collaborating with other business units.
• Communicates sophisticated / technical information clearly and concisely in an audience appropriate format.
• Qualifications & Experience: Deep hands-on experience with frontend development (Javascript, React JS, CSS, HTML, Playwright) including design pattern, performance tuning, and security.
• Experience with Web application standards and REST API's (Web services, JSON, HTTP, HTTPS).
• Experience with automation, web deployment and engineering environment tools such as Jira, GitLab, Confluence, Postman, VS Code and Copilot AI Agent.
• Experience with LSEG Element framework and Design System is advantage.
• Experience with business and technical analysis, quality assurance, delivery management, and / or Emerging Technology and Governance is advantage.
• Familiarity with Agile Methodologies and technical delivery planning and delivery risk analysis.
• Proven problem solving and interpersonal skills, both verbal and written.
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.