เงื่อนไขการค้นหา

ทักษะ:

Market Research, Research, Financial Modeling, English

ประเภทงาน:

งานประจำ

• Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
• Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
• Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
• Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
• Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
• Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
• Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
• Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
• Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
• Strong analytical skills with proficiency in market research and business modeling.
• Experience with analysis tools such as Excel, Power BI, Tableau.
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
• Good command in English.

ประเภทงาน:

งานประจำ

• Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
• Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
• Job Scope.
• ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
• ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
• ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
• ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
• ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
• ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
• ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
• ꔷ Effective communicator with excellent presentation skills.
• ꔷ Self-motivated, strong ownership and strong team management skills.
• ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
• ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
• ꔷ Able to communicate in Chinese would be additional advantage.

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
• Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
• 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
• 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
• To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
• Review PUE, cost saving energy and report.
• Measured Efficiency air system and record annual report.
• Responsible for implementation of Mechanical such as comfort air, precision air.
• Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
• Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
• Bachelor degree of Engineering, Mechanical engineering or related field.
• At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
• At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
• Able to Air - Diagram and Psychrometric chart knowledge.
• Able to work as a team and work in and standby on call on holiday.
• Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
• Proficiency in English communication is beneficial.
• Work Location: TrueIDC - Bangna Site (KM26).

ทักษะ:

Research, Automation, Statistics

ประเภทงาน:

งานประจำ

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).

ประเภทงาน:

งานประจำ

• เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
• เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
• สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
• ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
• ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
• พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
• Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.

ทักษะ:

Compliance, Research, Automation

ประเภทงาน:

งานประจำ

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Design and implement functional network infrastructure and systems with appropriate documentation.
• Build, develop, and maintain SD-WAN environments to enhance connectivity and efficiency.
• Analyze business requirements and collaborate with internal and external teams to optimize network solutions.
• Implement and oversee network security measures to protect data, software, and hardware.
• Engage with technology vendors to provide business-focused solutions.
• Lead deployment and support teams, ensuring smooth implementation of network solutions.
• Establish and maintain strong cross-functional relationships within corporate and local teams.
• Troubleshoot and resolve issues escalated by lower support tiers.
• Manage Azure environments and oversee services such as computing, storage, networking, and security.
• Ensure operational health and security of the Office 365 Suite and MS Exchange policies.
• Provide support for Office 365 issues, including connectivity and mobility challenges.
• 10+ years of experience as an enterprise network engineer.
• 7+ years of experience in network segmentation, URL filtering, and dynamic routing.
• 5+ years of experience with firewalls and network security mechanisms.
• Expertise in network hardware and equipment (Cisco, Citrix SDWAN, Palo Alto, Fortinet).
• Strong knowledge of enterprise-level networking and dynamic routing protocols.
• Experience with firewalls, including UTM environments.
• Ability to work independently and in a team within a fast-paced environment.
• Strong verbal and written communication skills.
• Extensive knowledge of SD-WAN development and maintenance.

ทักษะ:

Continuous Integration, Jenkins, DevOps

ประเภทงาน:

งานประจำ

• Design, build, maintain, and optimize CI/CD (Continuous Integration/Continuous Deployment) pipelines using tools like Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Automate infrastructure provisioning, configuration management, and deployment using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, CloudFormation, Puppet, Chef).
• Manage and monitor cloud infrastructure environments (primarily AWS, Azure, or GCP - ...
• Implement and manage containerization (Docker), container orchestration (Kubernetes), and GitOps continuous delivery workflows (e.g., using Argo CD).
• Develop and maintain robust monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack, Datadog, CloudWatch) to ensure system health and performance.
• Collaborate with software developers to improve application deployability, performance, and reliability.
• Implement and enforce security best practices across the infrastructure and deployment lifecycle (DevSecOps principles).
• Troubleshoot and resolve issues related to infrastructure, deployments, and system performance.
• Manage source code repositories (e.g., Git) and implement branching/merging strategies.
• Automate routine operational tasks through scripting (e.g., Bash, Python, PowerShell).
• Document infrastructure, systems, and processes.
• Stay current with the latest DevOps tools, technologies, and best practices.
• Experience with managing or supporting databases such as MongoDB, MySQL, and PostgreSQL.
• Bachelor s degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Experience with Infrastructure Engineer for 1-3 years.
• Skilled in CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and IaC (Terraform, Ansible).
• Experienced with cloud platforms (AWS, Azure, GCP) and container tools (Docker, Kubernetes, Argo CD).
• Proficient in monitoring and logging tools (Prometheus, Grafana, ELK, Datadog).
• Strong scripting skills (Bash, Python) and Git version control.
• Knowledge of DevSecOps, database support (MongoDB, MySQL, PostgreSQL), and system troubleshooting..
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date.
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*.
• Don't forget to 'Like' and 'Follow' our social media channels so you won't miss any news from us. Clic.

ทักษะ:

Budgeting, Excel, AutoCAD

ประเภทงาน:

งานประจำ

• ถอดแบบและประเมินจัดทำ BOQ ราคางานก่อสร้าง.
• คิดปริมาณวัสดุเพื่องานจัดซื้อวัสดุในงานก่อสร้าง.
• ประสานงานกับฝ่ายที่เกี่ยวข้อง เพื่อจัดทำงบประมาณสำหรับประมูลงานก่อสร้าง.
• ติดต่อและประสานงานกับผู้รับเหมาเพื่อสรุปราคางานเพิ่ม-ลด.
• เปรียบเทียบราคาวัสดุ และราคางานก่อสร้าง.
• ตรวจสอบเอกสารงานจัดซื้อ-จัดจ้าง ให้เป็นไปตามราคากลางของบริษัท.
• จัดทำรายงานต่างๆ หรือจัดทำ Presentations ด้านงบประมาณ ให้ผู้บริหารตัดสินใจ.
• งานอื่นๆ ตามที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• จบการศึกษาระดับปริญญาตรีหรือสูงกว่า สาขาวิศวกรรมโยธา หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้านงานประมาณราคาอย่างน้อย 3-5 ปี ขึ้นไปจะพิจารณาเป็นพิเศษ.
• มีความสนใจการถอดแบบประมาณราคา ทำงบประมาณ ควบคุมต้นทุนก่อสร้าง.
• มีความรับผิดชอบ มีความอดทนสูง มีไหวพริบดี สามารถปรับตัว และสนใจเรียนรู้สิ่งใหม่ๆ ได้ดี.
• มีความรู้ด้านในด้านงานก่อสร้าง มีทักษะด้านการบริหารงานก่อสร้าง.
• สามารถทำงานเป็นทีมได้ดี.
• สามารถใช้ MS. Excel, AutoCAD ได้เป็นอย่างดี.
• ฝ่ายทรัพยากรบุคคล.
• บริษัท เอสซี แอสเสท คอร์ปอเรชั่น จำกัด (มหาชน)อาคารชินวัตร ทาวเวอร์ 3 ชั้น 10
• เลขที่ 1010 ถนนวิภาวดี - รังสิต
• แขวงจตุจักร เขตจตุจักร กรุงเทพฯ 10900
• Website: www.scasset.com.

ทักษะ:

Automation, Research, Assurance

ประเภทงาน:

งานประจำ

• Develop efficient and high-quality test strategies, automation frameworks, and test cases to ensure software reliability, meeting project timelines and quality standards.
• Design and document clear and comprehensive test plans (including functional, integration, and performance testing) to facilitate effective communication and collaboration across teams.
• Optimize test execution efficiency, enhance automation coverage, and research emergi ...
• Conduct thorough test reviews and defect analysis, providing actionable feedback to improve software quality and drive continuous improvement within the team.
• Minimizes the risk of software defects and security vulnerabilities by maintaining robust testing methodologies, enhancing automation reliability, and improving bug detection accuracy.
• Drive end-to-end testing efforts from test planning to execution, ensuring smooth deployment and ongoing quality assurance in a production environment.
• At least 3 years of hands-on experience in the entire software testing lifecycle, including test planning, automation development, execution, and defect management in a production environment.
• Proficient in Playwright with TypeScript, with experience in developing and maintaining robust automation frameworks for UI and API testing. Ability to write clear, reusable, and maintainable test scripts.
• Strong knowledge of performance testing using K6, including designing load tests, stress tests, and endurance tests to measure system performance under high concurrency. Ability to analyze test results.
• Strong understanding of software testing methodologies, including functional, regression, integration, and exploratory testing.
• Excellent analytical and debugging skills, with the ability to investigate test failures, provide detailed bug reports, and collaborate with developers for resolution.
• Experience with event-driven architectures, ensuring thorough validation of message queues such as RabbitMQ.
• Knowledge of database validation, with a focus on data type consistency, data migrations, and schema evolution. Experience testing applications migrating between different databases (e.g., MongoDB to PostgreSQL or cloud-based solutions) is a plus.
• Familiarity with CI/CD pipelines, ensuring automated tests are seamlessly integrated into DevOps workflows for continuous testing and deployment.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date.
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*..
• Don't forget to 'Like' and 'Follow' our social media channels so you won't miss any news from us. Click.

ทักษะ:

Automation, MongoDB, Redis

ประเภทงาน:

งานประจำ

• Design and implement build, deployment, and configuration management.
• Improve the frameworks, techniques, and tooling to provide increased quality and agility for our Development teams.
• Manage life cycle management of the private and public cloud or containers and VMs server/infrastructure and related platforms such as AWS, Azure, and GCP.
• Hands-on experience leading the design, development, and deployment of business software at scale.
• Build, maintain, test automation tools for infrastructure provisioning and monitor configuration standards.
• Has deployed a variety of open-source software systems such as NGINX, MongoDB, Redis, Kafka, Vault, etc.
• Collaborate with delivery teams to understand requirements and work crossfunctionally to design, develop, test, and release features.
• Assist with the design, implementation, and administration of shared development, monitoring, CI/CD, DevOps, and collaboration tools.
• Identify opportunities to reduce time to delivery, rework, and total cost of ownership while improving the functional and non-functional requirements of our system.
• Has deployed a variety of open-source software systems such as NGINX, MongoDB, Redis, Kafka, Vault, etc.
• Minimum of 3 years of experience in platform engineer or related roles.
• At least 1-2 years of experience in a scripting language (such as Powershell, Bash, or Python).
• Familiarity with DevOps best practices and experience with CI/CD tool.
• Solid experience in building and operating Microservices Cloud platforms, primarily on AWS.
• Experience in containerizing and orchestrating Docker (preferably with Kubernetes, ECS, or equivalent) with writing Infrastructure as Code using Terraform or Cloudformation.
• Strong experience writing code and building systems that automate or speed up the entire development and production application lifecycle (task management, dev setups, secret management, feature development, testing, PR review, feature flags, release and deployment, security, monitoring, etc.).
• Experience in agile-based tooling such as Atlassian Stack (Jira, Confluence), Trello, etc.
• Experience working in a heavily regulated industry or environment.
• Expertise in at least 1 of the following programming languages: Python, Go, Typescript, Java.
• Familiarity with monitoring and observability tools.
• Effective communication and collaboration skills.
• AWS Solutions Architect / AWS DevOps Certification is a major plus.
• Demonstrated in-depth knowledge of Linux environments.
• Familiarity with MySQL, MongoDB, Redis.
• Working in an agile environment using test driven methodologies..

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Compliance

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

ทักษะ:

Cloud Computing, RESTful, JSON

ประเภทงาน:

งานประจำ

• Bachelor or master s degree in computer and Telecommunication Engineering, Computer Science, IT or in a related field.
• 8 - 13 years of experience in the Computer or Telecommunication field.
• Good Knowledge on cloud computing & edge computing technology.
• Good understanding on infrastructure technic that related of TCP/IP, Switch, Router, Firewall, LBS, and DNS.
• Good understanding technic that related of IoT/M2M/MEC Network Protocols - HTTP, HTTPS, Restful, MQTT, COAP, JSON objects, API, SNMP.
• Operating System knowledge: Linux-Redhat, CenOS, Windows Server.
• Database knowledge - Mongo DB, NoSQL DB, SQL, PostgreSQL.
• Good understanding of Docker and Kubernetes operations.

ทักษะ:

Oracle, Java, SQL, English

ประเภทงาน:

งานประจำ

• Be familiar with oracle technology such Oracle DB and related programming language such as java, pl/sql and linux script.
• Be advantage if you are familiar with Oracle Retail Suite or Oracle ERP.
• Create data flow/system flow/detail design to make the team clear in backlog and acceptance criteria.
• Create related documents as knowledge management for team and stakeholder.
• Co-ordinate with stakeholder (Business Team/Developer/QA/TPM/DEVOPS/Solution Architect) to solve any blocking issue in software development.
• Understand and adapt testing methodology and work with QA team to delivery software with Quality.
• Understand and adapt Agile methodology in software development.
• Understand and adapt CI/CD and be familiar with DEVOPS tools in software development.
• Work with L1/L2 support team as L3 to solve any production issues within SLA.
• Be senior team member and work with teammate to delivery software with quality. And be consultant for Jr. team member to solve some blocking problems.
• Bachelor s in Computer Science or related field.
• 6+ years in Developer/System Analyst with leadership experience.
• Proficient in Oracle Database, PL/SQL, Java, and Linux scripting. Experience with Oracle Retail Suite or Oracle ERP/Oracle Retail is a strong advantage.
• Skilled in creating data flows, system flows, and detailed design documentation to clarify requirements and acceptance criteria for the team.
• Strong coordination skills to work effectively with business teams, developers, QA, DevOps, and Solution Architects to resolve development issues and remove blockers.
• Experienced in Agile methodology.
• Ability to serve as L3 support for production issues, providing mentorship to junior team members and ensuring high-quality delivery.
• Good English proficiency.
• 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. .

ประเภทงาน:

งานประจำ

• วิเคราะห์กระบวนการทางธุรกิจ ผ่านการค้นคว้าข้อมูล เก็บรวมรวมความต้องการ (As Is Requirement) ของผู้ใช้งาน ทำความเข้าใจ ศึกษากระบวนการ (Business Process) ตลอดจนข้อกำหนดทางธุรกิจ (Business Rules) ของหน่วยงาน และหาความรู้เกี่ยวกับธุรกิจที่เกี่ยวข้อง เพื่อทำเป็นรายงานและ Dashboard สิ่งที่ต้องพัฒนาเพิ่มเติม (Gap Analysis) ขอบเขตการทำงาน (Scope of Work) เพื่อหาวิธีการแก้ปัญหา หรือเพิ่มโอกาสทางธุรกิจด้วยเครื่องมือที่เหมาะสม.
• Key Responsibilities (หน้าที่ความรับผิดชอบหลัก).
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis).
• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Compliance, Risk Management, Project Management, English

ประเภทงาน:

งานประจำ

• Project Delivery/Management: Support the delivery of data security projects focused on implementing tools such as Opentext, Securiti.AI, Fortanix, Guardium, OneTrust, Thales, Protegrity, and others across Southeast Asia.
• Client Collaboration: Work with clients to assess comprehensive data security risks and provide tailored recommendations for implementing capabilities including for data discovery, classification, encryption, anonymization, tokenization, certificate management, key management, safe data deletion, data loss prevention, Information Prot ...
• Subject Matter Expertise: Offer deep knowledge on security capabilities such as identity management, encryption, endpoint management, data loss prevention, email security, web and browser security, zero trust and key and certificate mgt. (e.g., Information and Data Protection, DLP, Insider Risk Management).
• Configuration and Deployment: Support the setup and deployment of data security solutions, ensuring seamless integration with client environments.
• Project Delivery: Ensure successful delivery of data security solutions across on-premise and cloud environment through strong project management and leadership.
• Client Relationships: Build and nurture positive working relationships with clients, aiming to exceed their expectations.
• Profitability Improvement: Identify opportunities to enhance engagement profitability through automation, creation of accelerators, and reuse of best practices.
• Understand objectives for stakeholders, clients and Deloitte whilst aligning own performance to objectives and sets personal priorities.
• Develop themselves by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador.
• Seek opportunities to challenge themselves, collaborate with others to deliver and takes accountability for results.
• Build relationships and communicates effectively in order to positively influence peers and stakeholders.
• Work effectively in diverse teams within a highly inclusive team culture where everyone is supported, respected and recognized for their contribution.
• Requirements:Degree in cyber security, computer science, business IT or equivalent.
• 7+ years of experience in cybersecurity, with a focus in data security, particularly in developing, implementing, or architecting security solutions from one or more of the listed vendor solutions above.
• 1+ years of hands-on experience with tools across and such as: Identity(Active Directory), Data Security including encryption solutions for storage, databases, networks (Guardium, Opentext, Protegrity, Fortanix, Securiti.AI etc), tokenization (for structured data), digital rights management for unstructured data (MS IRM / Purview), data loss prevention (Symantec, MS, Trellix, Zscaler), data posture mgt. (BigID, Sentra, Wiz, Securiti.AI, IBM Guardium etc.) and should have hands on experience including configuration, deployment, and management.
• Familiarity with standards, frameworks and privacy laws such as ISO/IEC 27701, ISO/IEC 27001, GDPR, PDPA and DAMA International Data Management Body of Knowledge (DAMA-DMBOK) would be a plus.
• Excellent communication and presentation skills, with the ability to influence senior stakeholders and deliver compelling recommendations.
• Strong leadership and team management capabilities, with experience mentoring and developing consultants.
• Preferred CIPP, CIPM, CIPT, CISSP certification or related security certification.
• Able to speak Thai and English fluently.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. #LI-AA1Requisition ID: 107972In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Python, ASP.NET, .NET

ประเภทงาน:

งานประจำ

• กำกับดูแล Data Pipelines ที่มีการใช้งานจริง และควบคุมงานการสร้าง Data Pipeline ใหม่ รวมถึงการดำเนินการตาม SLA ที่วางแผนร่วมกันกับทีมที่เกี่ยวข้อง.
• ศึกษาเทคโนโลยีใหม่ๆ เพื่อเป็นปรับปรุง Data Pipeline ให้สามารถตอบสนองผู้ใช้งาน รวมถึงความต้องการของทางธุรกิจให้ดีขึ้น.
• ศึกษาทำความเข้าใจระบบต่างๆที่ต้องนำข้อมูลมาจัดให้อยู่ในรูปแบบมาตรฐานและเก็บรวมกันเป็น Single source of truth รวมถึงศึกษาความต้องการใช้ข้อมูลของผู้บริหารในหน่วยธุรกิจ (business unit) ร่วมวางแผนโครงการ, นำเสนองบประมาณและแนวทางดำเนินงาน, นำเสนอข้อมูลทางเล ...
• ออกแบบ และพัฒนา Data Pipeline.
• ออกแบบ Data Pipeline ภายใต้การกำกับดูแลของผู้จัดการงานออกแบบและพัฒนาระบบฐานข้อมูล.
• กำกับดูแล Data Architecture และพัฒนา Data Pipeline.
• กำกับดูแลรับข้อมูลซึ่งมีทั้งแบบ data streaming และ data batch รวมถึงนำส่งข้อมูลให้กับ BU ต่างๆ.
• กำกับดูแลการทดสอบ Data Pipeline ที่ได้ วางแผนการขึ้นระบบของซอฟต์แวร์ร่วมกับผู้ใช้.
• กำกับดูแลการจัดทำเอกสาร คู่มือ การใช้งานซอฟต์แวร์ที่ได้พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งาน และอ้างอิงในการพัฒนาต่อยอดของซอฟต์แวร์.
• ประสานงานกับหน่วยงานที่เกี่ยวข้องเพื่อแก้ไขปัญหา หรือพัฒนาระบบ.
• กำกับดูแล Data Architecture รวมถึงการพัฒนา Data Pipeline ของเจ้าหน้าที่การออกแบบและพัฒนาระบบ.
• หากมีประสบการณ์ Data Modeling และสามารถออกแบบ Data Architecture ได้ พัฒนาโครงสร้างข้อมูลให้สอดคล้องกับความต้องการของหน่วยธุรกิจ สามารถทำ Logical / Physical Data Model และเข้าใจหลักการจัดการข้อมูล จะพิจารณาเป็นพิเศษ.
• ปริญญาตรีสาขาคอมพิวเตอร์หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทางด้าน Data Engineer/ Data Architect อย่างน้อย 3 ปี.
• มีความเข้าใจในงาน Data Engineer สามารถทำ Data Pipeline ทั้งในรูปแบบ Batch และ Stream.
• สามารถเขียนและใช้งาน Python, ASP.net C#, MSSQL, MySql.
• สามารถเขียนและใช้งาน Golang, Kafka, Debezium CDC, Apache Airflow, Apache Spark, MongoDB (ถ้ามี).
• มีทักษะการใช้งาน Database.
• มีทักษะในการใช้ SQL.
• มีทักษะในการใช้ Pivot Table.
• มีทักษะในการทำ Performance Tuning ของระบบฐานข้อมูล.
• มีทักษะ Critical thinking and Problem solving.
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• บริษัท ไทยเบฟเวอเรจ จำกัด (มหาชน).
• อาคารเล้าเป้งง้วน 1 333 ถนน วิภาวดีรังสิต จอมพล เขตจตุจักร กรุงเทพมหานคร 10900.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

ETL, Python, TensorFlow

ประเภทงาน:

งานประจำ

• Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
• Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
• Use PySpark to process and analyze large datasets in a distributed computing environment.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production.
• Design ETL workflows for preprocessing and transforming structured and unstructured data.
• Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
• Stay up to date with the latest advancements in AI, machine learning, and data engineering.
• 5+ years of experience in data science, machine learning, or applied AI.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Hands-on experience with PySpark for big data processing and analysis.
• Experience with SQL for querying large datasets efficiently.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
• Experience working with ETL workflows and data engineering pipelines.
• Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
• Experience in the retail industry or working with e-commerce/consumer data.
• Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
• Experience with deep learning frameworks for NLP or computer vision.
• 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. .