เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, Automation, Oracle, Apache, VMware

ประเภทงาน:

งานประจำ

• Lead, mentor, and manage the Application Support squad (3 Junior engineers), ensuring high morale, optimal performance, and continuous skill development.
• Design and maintain the Shift Roster (Onshore/Offshore Day Shifts and Night Batch Specialist Shifts) with clear daily handover checklists to guarantee 24/7 coverage.
• Establish and govern clear Service Demarcation Lines and handoff points between App Support, Helpdesk, Software Development,SRE and Server teams, eliminating duplicate efforts.
• Manage the implementation and optimization of ITSM, ensuring robust processes for Incident, Problem, Change and Service Request modules.
• Partner with the Bank's IT team to implement API-level Ticket Bridging maintaining a target ticket assignment accuracy of >90%.
• Serve as the primary escalation point for application issues; cooperate with Incident Manager and Technical Teams in the "War Room" during P1/P2 incidents to rapidly restore systems and achieve SLA targets (Downtime 90%.
• Serve as the primary escalation point for application issues; cooperate with Incident Manager and Technical Teams in the "War Room" during P1/P2 incidents to rapidly restore systems and achieve SLA targets (Downtime < 4.32 mins/month).
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• System & Application Knowledge: Familiarity with core financial systems (CIS, ESS, SBL, MFET, GIS, SAXO, Front IFIS).
• Tech Stack Literacy: Good understanding of Windows/Linux servers, Active Directory, VMware virtualization, SQL databases (MSSQL, Oracle and Postgre), SFTP protocols, GoAnywhere, Apache Aitflow,.
• Core ITSM Administration: ITSM configuration, ticket routing rules, and API integrations.
• Operations & Batch Control: Knowledge of Batch scheduling, automation tools, and transaction logs processing.
• Analytical Skills: Root Cause Analysis (RCA) and Incident Trend analysis.

ทักษะ:

Analytical Thinking, Automation, Power BI, Apache, Python

ประเภทงาน:

ฝึกงาน

• Assist in developing, testing, and validating AI tools and Agentic AI solutions.
• Develop Python- and SQL-based solutions, dashboards, and workflow automation.
• Collect, prepare, and analyze supplier quality datasets supporting AI skills.
• Support creation and maintenance of Markdown Knowledge Bases, and AI training content.
• Contribute to SharePoint AI Hub, AI Agents, and workflow integration initiatives.
• Participate in AI model evaluation, validation, and continuous improvement activities.
• Support documentation, reporting, and deployment readiness of AI projects.#internship.
• Computer Engineering or Robotics & Artificial Intelligence Engineering.
• Proficiency on Microsoft Power App such as Power Automate, Copilot Studio.
• Proficiency in Data analytics and Data visualization programs.
• Strong knowledge of Python programming.
• Strong knowledge of SQL and database fundamentals.
• Experience on Power App, Copilot Studio, Python, Power BI, SQL, Apache Airflow, GitHub.
• Interest in Artificial Intelligence, Machine Learning, and Agentic AI systems.
• Self-driven learner with strong analytical thinking.
• Ability to work with engineering data and large datasets.
• Strong communication and documentation skills.
• Passion for innovation, automation, and problem-solving.
• Home to 4,000+ employees, our Teparuk site produces nano-recording heads, a crucial component of the read/write functionality of ahard disk drive.Our Teparuk facility is a fun and active site. Here at work you and your colleagues can grab breakfast, lunch, dinner andsnacks at our 24-7 on-sitecanteen and coffee shop. Get in a few laps around our running track or enjoy volleyball, ping pong, badmintonor football through our on-sitegymnasium and fitness center. We also offer music, dance and yoga activities. Enjoy many on-site festivalsand celebrations as well as opportunitiesto give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Apache, Python, ETL, SQL

ประเภทงาน:

งานประจำ

• Data Pipeline Operations.
• Monitor scheduled and event-driven ETL/ELT pipelines across Azure Data Factory, Databricks, Airflow, and related platforms.
• Investigate failed jobs, delayed data, missing records, schema changes, and dependency issues.
• Rerun or recover pipelines using approved operational procedures and confirm successful completion.
• Support production releases, cutovers, and post-deployment monitoring.
• Incident and Problem Management.
• Respond to data-service incidents and operational requests within agreed service levels.
• Perform root-cause analysis and document the issue, impact, resolution, and preventive action.
• Create, update, and follow operational tickets through closure.
• Coordinate with source-system owners, data engineers, infrastructure teams, and report owners when cross-team support is required.
• Data Quality and Reliability.
• Validate data completeness, accuracy, freshness, and reconciliation results.
• Maintain monitoring, alerting, and operational checks for critical pipelines and datasets.
• Identify recurring failure patterns and recommend permanent fixes or automation.
• Escalate material data risks with clear impact and status communication.
• Stakeholder and Service Support.
• Support users of reports, dashboards, and downstream data products.
• Provide concise updates on incidents, blockers, ownership, and expected next actions.
• Participate in daily operational reviews and handovers.
• Maintain runbooks, troubleshooting guides, support knowledge, and service documentation.
• Continuous Improvement.
• Automate repetitive operational tasks and recovery steps where appropriate.
• Contribute to observability, cost, performance, and reliability improvements.
• Support standardization of deployment, support, and data-quality practices.
• Share lessons learned and help improve team operational readiness.
• Required.
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.
• 2-5 years of experience in data engineering, data operations, application support, or production support.
• Hands-on experience supporting production data pipelines or data platforms.
• Strong SQL skills and working knowledge of Python or another scripting language.
• Experience with one or more orchestration or processing technologies such as Azure Data Factory, Databricks, Apache Spark, or Airflow.
• Understanding of data warehousing, ETL/ELT, file and database integration, job dependencies, and data-quality controls.
• Ability to troubleshoot methodically, communicate clearly, and work across technical and business teams.
• Experience with Azure or AWS data services.
• Experience with Linux, shell scripting, Git, and CI/CD practices.
• Familiarity with monitoring platforms such as Azure Monitor, CloudWatch, Grafana, or equivalent tools.
• Experience with Jira or an IT service-management platform.
• Retail, e-commerce, finance, supply-chain, or enterprise analytics experience.
• Knowledge of access controls, secrets management, and secure production-support practices.
• Production ownership and service mindset.
• Structured troubleshooting and root-cause analysis.
• Attention to data quality and operational detail.
• Clear incident communication and stakeholder coordination.
• Prioritization under pressure.
• Continuous improvement and automation mindset.

ทักษะ:

Analytical Thinking, Automation, Power BI, Apache, Python

ประเภทงาน:

ฝึกงาน

• Assist in developing, testing, and validating AI tools and Agentic AI solutions.
• Develop Python- and SQL-based solutions, dashboards, and workflow automation.
• Collect, prepare, and analyze supplier quality datasets supporting AI skills.
• Support creation and maintenance of Markdown Knowledge Bases, and AI training content.
• Contribute to SharePoint AI Hub, AI Agents, and workflow integration initiatives.
• Participate in AI model evaluation, validation, and continuous improvement activities.
• Support documentation, reporting, and deployment readiness of AI projects.#internship.
• Computer Engineering or Robotics & Artificial Intelligence Engineering.
• Proficiency on Microsoft Power App such as Power Automate, Copilot Studio.
• Proficiency in Data analytics and Data visualization programs.
• Strong knowledge of Python programming.
• Strong knowledge of SQL and database fundamentals.
• Experience on Power App, Copilot Studio, Python, Power BI, SQL, Apache Airflow, GitHub.
• Interest in Artificial Intelligence, Machine Learning, and Agentic AI systems.
• Self-driven learner with strong analytical thinking.
• Ability to work with engineering data and large datasets.
• Strong communication and documentation skills.
• Passion for innovation, automation, and problem-solving.
• Home to 4,000+ employees, our Teparuk site produces nano-recording heads, a crucial component of the read/write functionality of ahard disk drive.Our Teparuk facility is a fun and active site. Here at work you and your colleagues can grab breakfast, lunch, dinner andsnacks at our 24-7 on-sitecanteen and coffee shop. Get in a few laps around our running track or enjoy volleyball, ping pong, badmintonor football through our on-sitegymnasium and fitness center. We also offer music, dance and yoga activities. Enjoy many on-site festivalsand celebrations as well as opportunitiesto give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

ทักษะ:

Microsoft Azure, Apache, Python, Kafka, SQL

ประเภทงาน:

งานประจำ

• Implement data quality checks to ensure completeness, accuracy, and consistency across ingestion and delivery processes.
• Design and manage workflow orchestration to ensure reliable execution, proactive monitoring, and failure recovery.
• Work with system integration stakeholders to define, document, and maintain data exchange requirements for both inbound and outbound flows.
• Build reusable and scalable data integration processes that support both ingestion and outbound delivery across the enterprise.
• Apply data governance and privacy principles to ensure data is well-managed, secure, and compliant with internal and regulatory requirements.
• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful - comfortable learning new technologies, embracing feedback, and improving how things are done.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

MongoDB, Python, Hadoop, Apache, MySQL

ประเภทงาน:

งานประจำ

• About LINE MAN Wongnai.
• 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, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants 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 lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

ทักษะ:

Problem Solving, Postgre SQL, Big Data, Apache, Hadoop

ประเภทงาน:

งานประจำ

• Bangkok, Thailand.
• Workplace: on_site.
• We are looking for a.
• AI Data Engineer.
• to design, develop, and maintain scalable data platforms and pipelines that support Business Intelligence, Analytics, Machine Learning, and AI initiatives. You will collaborate with business stakeholders, data scientists, and engineering teams to build reliable ETL/ELT processes, optimize data performance, and deliver high-quality data solutions that enable data-driven decision-making across the organization.
• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (.
• SQL.
• Databrick SQL, PostgreSQL.
• Experience in.
• Big Data Technologies.
• like.
• Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in.
• Generative AI.
• is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/4AB4C6D3F3/apply).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Microsoft Azure, Python, Apache, Kafka, SQL

ประเภทงาน:

งานประจำ

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful - comfortable learning new technologies, embracing feedback, and improving how things are done.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, TensorFlow, Tableau

ประเภทงาน:

งานประจำ

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.
• Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
• Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
• Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
• Present insights and findings through visualizations and dashboards to inform decision-making.
• Stay updated on the latest tools and techniques in data science and retail analytics.
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 2 years of experience in data science or a related field.
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Strong problem-solving, communication, and teamwork abilities.
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/BC2701CDBF/apply).

ทักษะ:

Software Development, Kubernetes, TensorFlow, DevOps, Python

ประเภทงาน:

งานประจำ

• Design, code, train, test, deploy, and iterate on large-scale, distributed machine learning systems. Collaborate with a multi-functional agile team of data science, UX / UI design, product management, and engineering to build new features / products /services that delight our customers. Work with data scientists and data engineers to create end-to-end machine learning feedback loop and integrate it into various applications. Improve existing machine learning models both in terms of model performance and computing performance. Help drive code review, optimization, testing, and tooli ...
• BS (or higher, e.g., MS, or PhD) in Computer Science, Computer Engineering orrelated technical fields involving Machine Learning or equivalent technical experience Strong analytical and problem-solving skills - Proven software development skills in multiple programming languages (e.g., Python, Golang, C++) Experience with machine learning software packages (e.g., scikit-learn, XGBoost, TensorFlow, Caffe, Theano, Torch) Familiarity with container-based technologies (e.g., Docker, Kubernetes) and DevOps practices (e.g., code review, automated testing, CI / CD, logging, performance monitoring) Strong communication skills & collaborative mindset Experience with data processing tools (e.g., Hadoop, Apache Spark, Apache Beam) and Cloud platforms (e.g., AWS, Azure, GCP) considered a plus.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Recruitment, Python, ETL, SQL, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
• Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows.
• Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture.
• Ensure data quality, reliability, and availability across all data products.
• Collaborate with Data Architects to implement data models and architecture standards.
• Support data governance, metadata management, and lineage tracking.
• Ensure pipelines comply with PDPA, data classification, and security requirements.
• Monitor pipeline performance and troubleshoot data issues in production environments.
• Work closely with Data Scientists and Analysts to deliver model-ready datasets.
• Participate in code reviews and promote engineering best practices.
• What We're Looking For.
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and Python for data transformation and processing.
• Hands-on experience with Azure Data Services, Databricks, and Delta Lake.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Familiarity with data modeling concepts and distributed data systems.
• Understanding of data governance, data quality, and security practices.
• Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation.
• Experience in banking, fintech, or other regulated industries.
• Knowledge of streaming technologies such as Apache Kafka or Azure Event Hubs.
• Familiarity with CI/CD practices and infrastructure-as-code for data pipelines.
• Exposure to Unity Catalog, Azure Purview, or similar metadata management tools.
• Experience working in Agile/Scrum environments.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ทักษะ:

Leadership Skill, Python, SQL, English

ประเภทงาน:

ฝึกงาน

• The Operations Quality & Analytics (OQ&A) organization helps protect and improve Seagate's Total Customer Experience by developing, deploying, and sustaining end-to-end quality analytics and processes. These solutions provide trusted, actionable information that enables earlier detection and prevention of HDD issues.
• The Operations Quality Analytics Tool & System Development Team supports OQ&A functional teams through data analytics and tool/system development.
• Support the Global Quality organization by identifying opportunities to reduce manua ...
• Analyze and understand existing processes and business requirements, then design, develop, and deploy AI-driven solutions that enhance operational efficiency, productivity, and decision-making.
• The intern will have opportunities to build AI-powered solutions that automate quality processes, reduce manual effort, accelerate root-cause investigations, and enhance operational decision-making across global quality teams.
• Partner with the Global Quality organization to identify and implement opportunities for process automation and operational efficiency improvements.
• Analyze, document, and understand current business processes and operational requirements.
• Design, develop, and deploy AI agents, automated workflows, and other AI-driven solutions.
• Collaborate with stakeholders to ensure solutions aligned with business objectives and user needs.
• Continuously evaluate and enhance deployed solutions to maximize business value and user adoption.
• Participate in the development of AI-powered analytics, automation tools, and digital transformation initiatives.
• Adaptable: Willingness to learn, adapt to changing requirements, and stay current with emerging technologies.
• Reliable: Ability to manage multiple projects and work effectively with cross-functional teams while consistently meeting commitments and deadlines.
• Problem Solver: Strong analytical skills and attention to detail with the ability to troubleshoot and resolve system issues.
• Strong Communicator: Proficient in spoken and written English with the ability to communicate technical concepts clearly.
• Currently pursuing a bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
• Background in statistics and machine learning, including regression, clustering, classification, and anomaly/outlier detection.
• Experience integrating OpenAI APIs (text and vision models) into internal tools, analytics pipelines, or inspection workflows.
• Proficiency in Python, including libraries such as Pandas, Scikit-learn, PyOD, and Statsmodels.
• Knowledge of databases, SQL, and fundamental data management concepts.
• Strong problem-solving and analytical skills, with the ability to work efficiently with large datasets.
• Interest in Generative AI, Large Language Models (LLMs), and AI-powered applications.
• Understanding prompt engineering concepts and AI-assisted workflows.
• Experience with Microsoft Copilot Studio.
• Familiarity with ETL (Extract, Transform, Load) processes and data pipeline development.
• Basic knowledge of big data technologies such as Hadoop or Apache Spark.
• Teparuk, Thailand.
• Our Teparuk site specializes in producing nano-recording heads - a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen Seagate Internal and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
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ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Full Stack, Software Development

ประเภทงาน:

งานประจำ

• Bachelor's Degree in Computer Science, Computer Engineering or related fields.
• Enjoy working in a team environment.
• Responsible, fast learner and able to meet a deadline.
• Good in problem analyze and trouble shooting.
• At least 1 year of experience in Software Development.
• Required Skills:-.
• Strong understanding of programming logic, data structures, and algorithms.
• Solid knowledge of OOP, Clean Code principles, and common Design Patterns.
• Familiarity with modern software architectures (e.g., Microservices, Event-Driven, Cloud-Native).
• Proactive mindset with a strong passion for learning new technologies and best practices.
• Role-Specific.
• Experience in developing web applications using Angular.
• Experience in web development using JavaScript, jQuery, HTML5, and CSS3.
• Experience in developing web applications using Angular.
• Intermediate to advanced proficiency in Java (Spring Boot).
• Knowledge of RESTful API development and database management.
• Experience in connecting and working with databases such as Redis, PostgreSQL, MySQL, MariaDB, MongoDB, MSSQL, Oracle, or DB2 (at least one).
• Experience with Cloud platforms (AWS, GCP, or Azure).
• Knowledge of Containerization (Docker, Kubernetes).
• Experience in developing system integrations with Apache Kafka.
• Familiarity with version control and CI/CD tools such as Git and Jenkins.
• Competitive Salary.
• Provident funds.
• Health insurance.
• Annual health checkup.
• Activities: Annual trip, New year party, etc.
• Orcsoft Co., Ltd.
• 163 Ocean Building, 16th Floor, Unit 16K,.
• Surawongse Road, Suriyawongse, Bangrak, Bangkok 10500.

ทักษะ:

Architecture, Automation, TensorFlow, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Data Architecture & Engineering: พัฒนาและดูแล Data Hub (Single Source of Truth) เพื่อรวบรวมและจัดการข้อมูลจากทุกแผนกให้เป็นระเบียบ พร้อมใช้งานสำหรับทุกหน่วยงาน.
• Predictive Modeling: พัฒนาและ Deploy โมเดล Predictive Churn & Sales เพื่อวิเคราะห์พฤติกรรมลูกค้า รักษาฐานลูกค้าสำคัญ และพยากรณ์ยอดขายในอนาคต.
• AI Solution Development: ปรับจูนและพัฒนาระบบ AI Chatbot เพื่อยกระดับประสบการณ์ลูกค้า เพิ่มความเร็วในการตอบกลับ และเพิ่ม Conversion Rate ของการขอเบอร์ลูกค้า.
• Ads & Campaign Analytics: พัฒนาระบบวิเคราะห์ประสิทธิภาพของแคมเปญโฆษณา (Ads Campaign) เพื่อช่วยทีมการตลาดตัดสินใจวางแผนสื่อได้อย่างแม่นยำและเพิ่ม ROI.
• Dashboarding & Reporting: ออกแบบและพัฒนาระบบ Dashboard ที่ใช้งานง่ายและมีประสิทธิภาพสูง เพื่อรองรับการทำงานของฝ่าย Sales, Marketing และ Warehouse ให้เห็นภาพรวมข้อมูลแบบ Real-time.
• Technical.
• Data Engineering Expertise: มีประสบการณ์เชี่ยวชาญในการออกแบบและพัฒนา ETL/ELT Pipelines ที่มีความซับซ้อน รวมถึงการบริหารจัดการข้อมูลด้วย SQL อย่างคล่องแคล่ว.
• Infrastructure & Tooling: มีประสบการณ์จริงในการใช้งาน Cloud Data Warehouse และสามารถบริหารจัดการฐานข้อมูลประสิทธิภาพสูงด้วย ClickHouse เพื่อรองรับการประมวลผลข้อมูลปริมาณมาก.
• Workflow Orchestration: มีความเชี่ยวชาญในการใช้ Apache Airflow เพื่อออกแบบระบบ Automation และควบคุม Workflow ของข้อมูลให้เป็นระบบ เพิ่ม Operational Agility ให้กับทีม.
• Data Architecture: มีความเข้าใจในการวางสถาปัตยกรรมข้อมูล เพื่อรองรับโครงการ Data Hub (Single Source of Truth) และการปรับปรุง IT Infrastructure ใหม่ตามเป้าหมายขององค์กร.
• Strategic Capability: สามารถประยุกต์ใช้ทักษะทางเทคนิคเพื่อขับเคลื่อนโครงการสำคัญ เช่น การสร้าง Predictive Churn & Sales Model, ระบบวิเคราะห์ Ads, และการทำ AI Integration.
• ปริญญาตรีหรือโท สาขาวิศวกรรมคอมพิวเตอร์, วิทยาการข้อมูล (Data Science), สถิติ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Engineering (ETL Pipelines, SQL, Cloud Data Warehouse,Clickhouse, AirFlow).
• มีความเชี่ยวชาญในการพัฒนาและประยุกต์ใช้โมเดล Machine Learning (Python, Scikit-learn, TensorFlow/PyTorch).
• มีประสบการณ์ในการสร้าง Dashboard (เช่น Power BI, Tableau, หรือเครื่องมือ BI อื่นๆ).
• มีความเข้าใจในการทำงานร่วมกับทีมธุรกิจ (Business Stakeholders) และสามารถสื่อสารข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• Bonus Skills: ประสบการณ์ด้าน LLM (Large Language Models) หรือระบบ Chatbot และความรู้ด้านการทำ Web Scraping หรือ API Integration.

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:

2 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Backbone, Python, DevOps

ประเภทงาน:

งานประจำ

• At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
• Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
• Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Build ETL/ELT workflows for both structured and unstructured data.
• Partner with data scientists and analysts to turn raw data into actionable insights.
• Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
• Lead platform monitoring, CI/CD automation, and cloud-native governance.
• Apply best practices in data security, quality, and governance.
• What Were Looking For.
• Degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in Data Engineering / Platform Engineering.
• Strong with Databricks, Apache Spark, Delta Lake.
• Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
• Experience in AWS or GCP services.
• Solid understanding of Lakehouse Architecture and Data Modeling.
• Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
• Bonus: Experience in retail tech, data privacy, and RBAC.
• Why Gosoft?.
• Impact: Be the backbone of the data powering 7-Elevens national operations.
• Innovation: Work on modern architecture and enterprise-scale platforms.
• Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
• Flexibility: Hybrid working, continuous learning, and career advancement.

ทักษะ:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment

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.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second r esponse times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 8+ years of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bengaluru.
• 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.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Leadership Skill, Power BI

ประเภทงาน:

งานประจำ

• Marketing Measurement & Incrementality.
• Own attribution and incrementality analysis for marketing spend - going beyond last-click or platform-reported attribution to assess the true causal impact of media investment.
• Design and interpret incrementality reads (e.g. holdout tests, geo experiments) and, where relevant, build or interpret marketing mix modelling (MMM) to separate incremental lift from correlation.
• Analyze cross-channel effects - for example, whether TikTok investment subsequently lifts Shopee or Lazada sales, shifts search behaviour, or drives new customer acquisition - rather than evaluating each channel in isolation.
• Customer Analytics.
• Run cohort analysis to understand acquisition, repeat purchase, and retention patterns across markets and channels.
• Build or interpret lifetime value (LTV) views, and identify which marketing activities are driving valuable, retained customers rather than only immediate conversions.
• Connect customer-level patterns back to media investment decisions - informing not just "did this campaign convert" but "did it acquire customers worth keeping.".
• Proactive Exploration & Insight Generation.
• Explore marketing and commerce data on your own initiative to surface non-obvious patterns and anomalies - this is a core expectation of the role, not a bonus behaviour.
• Present findings and recommendations directly to country marketing leads and regional leadership as a point of view, not just a finished chart.
• Use AI tools such as Claude where they genuinely accelerate this work - automated anomaly flags, drafting narrative summaries, natural-language querying - while keeping the analytical judgment and causal reasoning your own.
• Gather requirements from country marketing stakeholders and translate open-ended questions into structured data problems, working the hub-and-spoke model with the central Data Engineering / BI team in Vietnam and Indonesia.
• Write your own SQL, build/validate your own dashboards, and reconcile Marketing Dashboard numbers, escalating recurring data quality issues to the central Data Governance & Quality function.
• Maintain marketing metric definitions and methodology (including attribution and incrementality methodology) in Intrepid's BI Business Glossary, so the more advanced measurement work above stays consistent and reproducible across markets.
• Marketing Measurement & Statistical Capabilities - Core.
• Strong, hands-on grasp of attribution methodology beyond last-click or platform-reported numbers - multi-touch attribution and incrementality testing (e.g. holdout or geo experiments); hands-on MMM experience is a strong plus.
• Comfortable applying statistical/analytical techniques - experimentation and test design, regression analysis, and time-series/cohort analysis - to answer causal questions about media impact, not just describe correlations.
• Demonstrated ability to reason about cross-channel effects (e.g. does TikTok spend show up in Shopee/Lazada sales, search demand, or new customer acquisition) rather than analyzing each platform in isolation.
• Customer Analytics.
• Practical experience with cohort analysis, customer acquisition and repeat purchase/retention metrics, and lifetime value (LTV) modelling.
• Ability to distinguish marketing activity that drives immediate conversion from activity that drives durable, valuable customers.
• Analytical Curiosity.
• A track record of exploring data unprompted and surfacing findings nobody explicitly asked for - we will assess this directly, not just requirements-gathering or dashboard delivery skills.
• Technical & Data Capabilities.
• Hands-on SQL and dashboarding experience (e.g. Apache Superset, Looker, Power BI, or similar), with the ability to validate and reconcile data from multiple sources yourself.
• Experience with or exposure to e-commerce marketplace data (Shopee, Lazada, TikTok Shop) is a strong plus, given Intrepid's Martech and Analytics focus.
• Comfortable using Claude or other GenAI tools to accelerate analysis - SQL generation, summarizing large datasets, drafting narratives. Valuable, but secondary to the measurement and statistical capabilities above; we weight causal reasoning ability well above GenAI or low-code tool fluency.
• Marketing Domain & Business Analyst Capabilities.
• Solid understanding of marketing strategy - media mix, channel economics, campaign planning - sufficient to frame the right measurement questions.
• Baseline requirements-gathering and stakeholder management skills, with the ability to operate with minimal oversight across multiple country marketing teams. This is expected competence, not the primary differentiator for this role.
• Excellent communication skills, able to explain causal/statistical findings to a non-technical marketing audience without losing the nuance.
• Preferred Experience.
• 6+ years of experience with meaningful exposure to marketing measurement, growth/customer analytics, or applied statistics - not simply BA or dashboard-reporting experience.
• Hands-on experience with an MMM framework (e.g. Robyn, LightweightMMM) or having designed and run incrementality/holdout tests.
• Prior experience in e-commerce, marketplaces, or digital marketing in Southeast Asia.
• Experience covering multiple markets or countries remotely from a regional hub.
• Prior experience building or piloting an AI-assisted analytics workflow is a plus - but not a substitute for the statistical and measurement depth above.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Automation, Leadership Skill, eCommerce

ประเภทงาน:

งานประจำ

• Discovery & Requirements.
• Lead requirement-gathering conversations and workshops with e-commerce operations and finance stakeholders, and support country operations and finance leads across all six SEA markets.
• Map how operations and finance data flows across PowerSell, the Finance Data Warehouse, and marketplace Seller Centre sources, to identify what a country team actually needs versus what they're asking for.
• Translate open-ended questions (e.g. "why is reported GMV not matching finance's reconciled revenue for this market") into concrete, structured data requirements.
• Maintain a prioritized backlog of operations and finance analytics requests, working the hub-and-spoke model with the central Data Engineering / BI team in Vietnam and Indonesia.
• Analysis & Solutioning - Domain and Technical.
• Own end-to-end e-commerce operations analytics: SKU/category performance, pricing and promotions, marketplace P&L, and fulfilment/returns - reconciled against Finance Data Warehouse actuals.
• Write your own SQL and build/validate your own dashboards rather than fully depending on the central BI team - pairing with a Vietnam- or Indonesia-based analyst for heavier pipeline or engineering work.
• Validate and reconcile operations and finance numbers against each other, escalating recurring data quality or reconciliation issues to the central Data Governance & Quality function.
• Interpret third-party market intelligence and digital shelf vendor data for competitive and category context, understanding the strengths and known limitations of each data source.
• Insight Delivery & Stakeholder Management.
• Present operations and finance insights and recommendations directly to country operations and finance leads and regional leadership - not just a finished dashboard, but a point of view on what to do next.
• Proactively surface non-obvious patterns and discrepancies across markets, rather than only answering questions as they're asked.
• Act as the operations and finance domain's voice within Data & Analytics, feeding requirements into the central data engineering roadmap - including Intrepid's ongoing move from crawled Seller Centre data to official platform APIs for commercial and operational metrics.
• Governance, Documentation & Scale.
• Maintain operations and finance-specific metric definitions (e.g. GMV, net revenue, category margin), feeding into Intrepid's broader BI Business Glossary and semantic layer.
• Document reconciliation methodology between operational and financial reporting to ensure consistency of definitions across all six markets.
• Contribute to operations and finance data quality monitoring, flagging recurring issues as candidates for automation.
• AI-Native Analytics & Proactive Insight Generation.
• Use AI tools such as Claude to move operations and finance reporting from reactive, end-of-month reconciliation toward proactive, continuous insight - automated anomaly and discrepancy detection, and "so what" summaries generated alongside the numbers.
• Prototype and pilot AI-assisted analytics workflows - automated reconciliation-variance alerts, pricing/margin anomaly detection, natural-language querying over operations and finance data - in partnership with the central Data Engineering team.
• Continuously evaluate where GenAI can replace manual, repetitive reconciliation and reporting effort, and hand off validated use cases into Intrepid's broader AI transformation and automation roadmap.
• Technical & Data Capabilities.
• Hands-on SQL and dashboarding experience (e.g. Apache Superset, Looker, Power BI, or similar), with the ability to validate and reconcile data from multiple sources yourself.
• Working knowledge of e-commerce operations data structures - SKU/category, pricing and promotions, fulfilment and returns - and basic finance/reconciliation concepts (GMV vs. net revenue, margin, accruals).
• Experience with or exposure to marketplace Seller Centre data (Shopee, Lazada, TikTok Shop) and finance data warehouse reporting is a strong plus.
• Comfort working with third-party vendor datasets (market intelligence, digital shelf) and reconciling discrepancies between sources.
• Genuine, hands-on experience using Claude or other GenAI tools (e.g. ChatGPT, Gemini) for real analytical work - generating and debugging SQL, summarizing large or messy datasets, drafting stakeholder-ready insight narratives - not just casual or occasional use.
• Comfort experimenting with AI agents or no/low-code workflow automation tools (e.g. n8n) to prototype proactive, always-on insight generation rather than one-off, on-request dashboard pulls.
• Working prompt-engineering literacy - able to get reliable, decision-useful analytical output from an AI tool, and to know when to trust it and when to verify it.
• Operations & Finance Domain and Business Analyst Capabilities.
• Deep understanding of e-commerce marketplace operations: pricing and promotions mechanics, fulfilment and returns, and category/SKU management.
• Working understanding of finance and reconciliation concepts sufficient to bridge operational and financial reporting.
• Strong requirements-gathering and stakeholder management skills, with the ability to operate with minimal oversight across multiple country operations and finance teams.
• Excellent communication skills, able to bridge business/operations, finance, and technical/data audiences.
• Preferred Experience.
• 4-6 years of combined experience across e-commerce operations analytics, finance analytics, business analysis, or data analysis roles.
• Prior experience in e-commerce marketplace operations or finance reporting in Southeast Asia.
• Experience covering multiple markets or countries remotely from a regional hub.
• Exposure to finance reconciliation or data warehouse reporting systems.
• Prior experience building or piloting an AI-assisted or automated reporting/insight workflow, even informally, is a strong plus.

ทักษะ:

Cloud Computing

ประเภทงาน:

งานประจำ

• Bangkok, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• The Architect Cloud BI leads the design, implementation, governance, and optimization of mission-critical enterprise cloud-based Business Intelligence (BI) systems within our modern cloud data platform environment. You'll architect and oversee the development of cutting-edge BI solutions that meet strategic business needs while balancing cost, performance, and security requirements. Working closely with cross-functional teams, you'll create scalable BI architectures that serve thousands of users across the enterprise, incorporating advanced analytics and machine learning capabilities.
• Architect scalable BI solutions that meet strategic business needs within a modern cloud data platform environment.
• Oversee the development of cutting-edge BI systems, ensuring they align with organizational goals and industry best practices.
• Implement robust security measures to protect sensitive data and ensure compliance with relevant regulations.
• Optimize BI systems for cost-effectiveness, balancing expenses with performance and functionality.
• Fine-tune BI architectures to deliver high performance, enabling quick data access and analysis for thousands of users.
• Collaborate with cross-functional teams to understand and address diverse business intelligence requirements.
• Design and implement BI best practices, guidelines, and processes to drive self-service BI adoption across the company.
• Continuously evaluate and integrate new technologies, including machine learning and AI, to keep the BI infrastructure at the forefront of innovation.
• Extensive experience in designing and implementing cloud-based Business Intelligence (BI) systems, with expertise in Power BI or Tableau, within modern cloud data platform environments.
• Strong technical proficiency in cloud technologies, particularly Azure, AWS, or GCP, for building and managing scalable BI infrastructures.
• In-depth knowledge of data security practices and compliance requirements for enterprise-level BI systems, including cloud-specific security measures.
• Proven experience in cost optimization and management for large-scale cloud BI infrastructures, leveraging cloud-native tools and best practices.
• Expertise in big data technologies such as Apache Spark and familiarity with platforms like Databricks for handling and processing large datasets in BI contexts.
• Knowledge of machine learning and AI integration within BI solutions to drive data-driven insights.
• Strong understanding of data governance frameworks, data lineage, and metadata management.
• Expertise in implementing data quality and master data management (MDM) solutions.
• Excellent leadership and project management skills, with the ability to oversee complex BI development projects and guide cross-functional teams.
• Strong collaboration and communication skills, including fluency in both verbal and written English, to effectively work with diverse stakeholders and articulate technical concepts clearly.
• A track record of staying current with emerging BI technologies and successfully integrating them into existing architectures, while developing and implementing best practices for self-service BI adoption.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/ED63A46A7C/apply).