เงื่อนไขการค้นหา

ทักษะ:

Project Management, Architecture, SQL, ETL, English

ประเภทงาน:

งานประจำ

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

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ทักษะ:

Project Management

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SQL, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Participation in designing IT systems and infrastructure.
• Monitoring installed systems and infrastructure operations.
• Configuration and administration of technology/systems including hardware and operating systems.
• Providing technical solutions for computer applications and systems to teams, customers, and end users.
• Delivering comprehensive technical support to user support staff.
• Developing integrated solutions covering hardware, software, system infrastructure, and backup/recovery.
• Managing incidents and requests within the defined technology environment.
• Maintaining service quality through organizational standards enforcement.
• Bachelor Degree or Higher in Computer Science, Computer Engineering, Information Technology or related field.
• Minimum 2 years in a related position.
• SQL Database or equivalent database knowledge.
• Data backup and recovery software expertise.
• Must be able to troubleshoot and solve computer problems.
• Network understanding and basic TCP/IP (OSI Model) knowledge.
• Customer service orientation.
• Team collaboration ability.
• Good communication skills.
• English proficiency advantageous.
• Ability to perform under pressure with tight deadlines.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Database Administration

ประเภทงาน:

งานประจำ

• Administer all aspects of MSSQL/ Oracle databases including design, install, implement, monitor, maintain, tune and improve performance to meet clients' needs.
• Provide database solution, implementation and configuration.
• Perform database monitoring and performance tuning as well as SQL optimization.
• Implement solutions for managing Backup, Replication, High Availability (HA), Disaster Recovery (DR).
• Standby 24x7 on-call customer support in case related to SQL Server / Oracle databases.
• Performs general-to-advanced database issue troubleshooting.
• Provide recommendations and improvements for healthy and secured database for each customer's environment.
• Bachelor's degree in Computer Engineering, Computer Science or related discipline.
• 3+ years of experience as a Database Administrator (DBA) supporting enterprise database environments.
• Experience using MSSQL or Oracle or PostgreSQL.
• Knowledge in No-SQL DB like MongoDB or Redis will be big plus but not mandatory.
• Strong SQL fundamentals.
• Solid understanding of infrastructure, network and OS (Linux/Window) systems.
• Highly service-minded, great sense of responsibility with active and analytical mindset.
• Very attention to detail and able to prioritize important tasks.
• Strong problem-solving and good communication skills.
• Good command of English. Thai language proficiency is required.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, SQL, ETL

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, YouTube, SQL, English

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

node.js, Python

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Quality Assurance

ประเภทงาน:

งานประจำ

Our people are ambitious and humble, believing in what they do and convinced that our purpose is shaping a world of trust. With responsibility and openness, they daily serve our 400.000 clients in 140 countries, to bettering society. Across all our businesses and countries, each one of our people leaves their mark in shaping society. > We believe that leaving a mark is a true challenge and opportunity for every one of us. > We believe that leaving a mark is a sign of trust and impact. > We believe that leaving a mark is a bond with the future. > We believe that leaving a mark is pr ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Microsoft Azure, Architecture, Python, DevOps, SAP, ERP, SQL, ETL

ประเภทงาน:

งานประจำ

• Design, develop, and optimize enterprise-scale data platforms on Microsoft Azure Cloud.
• Build scalable and secure ETL/ELT data pipelines to support Data Lake, analytics, and AI/ML initiatives.
• Ensure high-quality, reliable, and cost-efficient data architecture while driving continuous improvement and technical best practices.
• Collaborate with cross-functional teams to deliver robust data engineering solutions and mentor junior engineers.
• Design and develop scalable data pipelines and cloud-based data architecture using Azure Data Factory (ADF), Databricks, Microsoft Fabric, and SSIS.
• Build ETL/ELT processes to integrate data from multiple sources such as SAP, ERP systems, APIs, and Excel into enterprise Data Lake and databases.
• Develop and optimize SQL, Python, and PySpark scripts for large-scale data processing.
• Monitor daily data pipeline operations, troubleshoot complex technical issues, and perform root cause analysis.
• Ensure data quality, accuracy, security, and optimize database performance.
• Prepare technical documentation, operation manuals, and share best practices with the team.
• Support continuous improvement by adopting emerging technologies and mentoring junior data engineers.
• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related fields.
• Minimum.
• 5 years.
• of experience in Data Engineering or related roles.
• Strong experience with.
• Microsoft Azure., Azure Data Factory (ADF), Databricks, Microsoft Fabric, and Data Lake.
• Strong proficiency in.
• SQL Server, T-SQL, Python, and PySpark.
• Experience in designing Data Warehouse, ETL/ELT processes, and integrating data from ERP/SAP systems and APIs.
• Knowledge of Cloud Architecture, CI/CD, DevOps practices, and Database Performance Tuning.
• Strong analytical and problem-solving skills with the ability to perform root cause analysis.
• Passion for learning new technologies and mentoring team members.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda's supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
• As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.