เงื่อนไขการค้นหา

ทักษะ:

Sales, Hadoop, ETL, English

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in software sales or account management.
• Experience promoting analytics, data warehousing, or data management software.
• Ability to communicate fluently in English and Thai fluently in order to communicate for APAC customers.
• Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
• Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
• Excellent business acumen and problem-solving skills.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute strategic account plans, including a broader enterprise plan across key industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and measurable business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
• 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.

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

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

ทักษะ:

Research, Automation, Statistics

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

ETL, SQL, NoSQL

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience working with customer requirements, including breaking them down and designing corresponding technical architectures.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
• Experience in delivery of business analytics use cases within the banking or telco industry, from requirements gathering and solution design to implementation and insights generation.
• Experience with architecture design, implementing, tuning, schema design and query of and distributed systems.
• Experience in building machine learning solutions and leveraging Machine Learning (ML) architectures (e.g., deep learning, load shedding and traffic management, convolutional networks).
• Ability to communicate in Thai fluently to support client relationships in this region.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Customer Solutions Consultant, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have technical, communication and organizational skills.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Work with the team to identify and qualify business opportunities related, understand customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
• Share data analytics to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
• 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.

ประเภทงาน:

งานประจำ

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

ทักษะ:

Compliance, Research, Automation

ประเภทงาน:

งานประจำ

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

ทักษะ:

Python, PowerShell, Bash

ประเภทงาน:

งานประจำ

• Implement, manage, and audit Identity and Access Management (IAM) policies, enforcing the principle of least privilege.
• Implement and manage vulnerability management programs for clients' cloud environments using both native and third-party tools.
• Continuously monitor and assess the security posture of cloud environments, identifying and remediating misconfigurations.
• Deploy, configure, and maintain cloud security solutions; automate security tasks using scripting (Python, PowerShell, Bash).
• Monitor security logs and alerts, investigate security events, and participate in incident response activities.
• Collaborate closely with clients' technical teams to provide security guidance and support solution implementation.
• Stay updated with the latest security threats, vulnerabilities, and best practices, and proactively enhance clients' security postures.
• Bachelor s degree in Computer Engineering, Computer Science, Cybersecurity, or a related technical field (or equivalent practical experience).
• 3+ years of hands-on experience in IT security, with at least 2 years specializing in cloud security engineering (AWS and/or Azure).
• Strong hands-on experience with AWS and/or Azure IAM services.
• Proven experience implementing and managing vulnerability management programs within AWS and/or Azure.
• Demonstrable experience in security posture management, utilizing automation and cloud-native tools.
• Proficiency in scripting languages (Python, PowerShell, Bash) for security automation and integration.
• Hands-on experience with data reporting from multiple sources and formats (e.g., CSV, JSON, XLSX, SQL).
• Solid understanding of incident response methodologies and experience in incident response activities.
• Strong grasp of core security principles (e.g., least privilege, defense-in-depth, zero trust).
• Exceptional problem-solving, analytical, and troubleshooting skills.
• Excellent written and verbal communication skills.
• Ability to work independently, manage multiple priorities, and perform effectively in a fast-paced environment.
• Engineering Specialist (Database).
• Design and implement new database systems and enhance existing ones for enterprise clients.
• Deploy and migrate databases to cloud platforms (e.g., Amazon RDS) and on-premises environments.
• Develop, implement, and test database backup and recovery strategies to ensure business continuity.
• Collaborate with development teams to ensure database design and development best practices are applied.
• Manage database security, including user access, roles, and permissions.
• Bachelor s degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in database administration.
• Amazon RDS (Oracle, SQL Server).
• Oracle Database Administration.
• Microsoft SQL Server Administration.
• Proficiency in SQL and query optimization.
• Experience with database backup and recovery strategies and database security best practices.
• Hands-on experience with Linux and Windows server environments.
• Familiarity with scripting languages (Shell, Python, PowerShell) for database automation.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively.
• Ability to manage multiple tasks and set priorities effectively.

ทักษะ:

Finance, Risk Management, DevOps

ประเภทงาน:

งานประจำ

• Manage day-to-day activities of a team of Security Architect Engineers.
• Design and implementation of advanced security architectures for applications, networks, and systems.
• Conducted comprehensive risk assessments and developed mitigation strategies.
• Design and implement security monitoring and incident response solutions.
• Stay abreast of emerging threats and vulnerabilities in the finance and crypto industry.
• Collaborate with cross-functional teams to ensure secure development practices.
• Mentor and guide junior security engineers.
• Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent professional experience.
• At least 2 years of experience in a security engineering role.
• Solid knowledge of security principles, cryptography, secure coding, threat modeling, and risk management.
• Familiarity with cloud security practices and secure DevOps methodologies.
• Demonstrates strong problem-solving, analytical, and critical thinking skills.
• Effective communication prioritization and collaboration abilities; work well in cross-functional teams.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*..
• Don't forget to 'Like' and 'Follow' our social media channels so you won't miss any news from us. Click.

ประเภทงาน:

งานประจำ

• Work closely with product and business team leader to understand and execute a product strategy that aligns with the company's overall business goals. This may include conducting market research, analyzing of the competitor landscape research and needs. Collaborating with other and technical team to identify product requirements.
• Understand the selling process including operation players, definition of services and policies of business process and engage with various team functions for gathering inputs for generating business outcome (engineering, operation, IT, support, billin ...
• Develop and execute a product roadmap: gathering and analysis business needs to define the value proposition to delivery.
• Develop new technology product partners to continuously product improvement.
• Learn to build product offering (price strategies, promotion plan) to address target segment.
• Build internal team relationships across AWN to deliver and support the right results for business growth.
• Develop product materials (decks, used case, technical specifications, demo) and manage regular updating.
• Monitor and tracking business performance and preparing regular reports.
• Bachelor s degree in IT or Telecommunications.
• 2-3 year experience in product management, pricing, product development, and/or related areas.
• Proven track record of taking ownership and driving results.
• Proven ability to deliver results and prioritize tasks in a fast-moving, dynamic environment.
• Collaborative and enthusiastic attitude.
• Open-minded and enjoys solving problems.
• PC skills; Advance on Excel (Pivot table/Data analysis such as Power Bi), Intermediate on Word/PowerPoint.
• Past experience in Product Development or driving enterprise Cloud product is a plus.
• Verbal and written interpersonal skills in English.
• Preferred Qualifications.
• Prior experience in Enterprise Cloud Business and Technology is a major plus..
• AIS Cloud Business Development Specialist.
• Work closely with product and business team leader to understand and execute a product strategy that aligns with the company's overall business goals. This may include conducting market research, analyzing of the competitor landscape research and needs. Collaborating with other and technical team to identify product requirements.
• Develop product offering or price strategies, promotion plan, or special pricing to address target segment or channel.
• Manage the creation of product materials and drive go-to-market strategies by collaboration with cross-functional teams.
• Build internal team relationships to deliver and support the right results for business growth.
• Drive sales enablement by leading the sales strategies and demand generation.
• Develop sales tools including pitch decks, case studies, and product demos.
• Develop and lead the execution of channel partners roadmap: Understand of product strategies, strengths, weaknesses, value proposition and challenges in growing business together.
• Monitor and tracking business performance and preparing regular reports.
• Bachelor s degree in IT Product Marketing, Business Administration, Telecommunications a related field.
• 3+ year experience in business management, pricing, and/or product marketing, business development, and / or related areas.
• Proven track record of taking ownership and driving results.
• Proven ability to deliver results and prioritize tasks in a fast-moving, dynamic environment.
• Collaborative and enthusiastic attitude.
• Open-minded and enjoys solving problems.
• PC skills; Advance on Excel (Pivot table/Data analysis such as Power Bi), Intermediate on Word/PowerPoint.
• Past experience in Business Development experience or driving enterprise product is a plus.
• Verbal and written interpersonal skills in English.
• Preferred Qualifications.
• Prior experience in Enterprise Cloud Business and Technology is a major plus..

ทักษะ:

ISO 27001, Compliance, Assurance, English

ประเภทงาน:

งานประจำ

• Develop and support internal audit strategies within the cyber security domain, which involves protecting computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks.
• Implement work standards to achieve desired outcomes and report findings to top management as a Cyber Security Auditor.
• Identify potential cyber security risks and convince organizational stakeholders to adopt comprehensive actionable recommendations.
• Act as a liaison with internal auditors, external auditors, Bank of Thailand auditors, Electronic Transactions Development Agency auditors, and other regulatory bodies (e.g., ISO 27001, PCI DSS, etc.) to ensure documentation and information compliance.
• Provide assurance and advisory services to ensure that IT Management plans, organizes, and directs appropriate IT governance, risk management, and control processes.
• Liaise with IT risk owners to develop risk-based assessments and establish risk response programs and reporting processes according to the Risk Management Policy and Framework.
• Bachelor's or master s degree in Computer Engineering, Computer Science, Information Technology, or related fields.
• Experience in relevant local and international security standards and best practices such as ISO 27001, NIST, COBIT, COSO, PCI DSS, and ITIL.
• Experience in IT Governance, Risk Management, and Control Processes (IT GRC), Project Management, Lead Auditor/Lead Implementer, or similar roles is preferred.
• Professional certifications such as CISA (Certified Information Systems Auditor), CISSP (Certified Information Systems Security Professional), and CRISC (Certified in Risk and Information Systems Control) are advantageous.
• Technical expertise in cyber security auditing.
• Proficiency in English.
• At least 3 years of experience in information security management, information risk management, IT audit management, ICT security, cloud security, or related fields.

ทักษะ:

Automation, Java, RESTful

ประเภทงาน:

งานประจำ

• Design and develop the business logic and backend systems of the product, with a focus on middleware supply chain solutions, streamlining end to end warehouse operations and functions.
• Work closely with the solution architects and product owners supporting our warehouse operations teams.
• Decipher existing companies software systems and be able to hook in application to applicable data sources.
• Write both unit and integration tests, and develop automation tools for daily tasks.
• Develop high quality, well documented, and efficient code.
• Challenge ideas and opinions to avoid pitfalls and inefficient solutions.
• Experience building and supporting at least one of these types of systems: OMS, WMS, WCS.
• You have experience as a backend engineer in common languages and frameworks including Java or C#.
• You have experience working on servers both on-premises and cloud hosted.
• You have deep knowledge of object-oriented programing and engineering principles such as SOLID.
• You have significant experience writing and utilizing autonomous services-oriented restful API services and performance tuning largescale apps.
• You have experience with relational database systems including Oracle and PostgreSQL.
• You are able to write effective unit, integration, and API tests.

ทักษะ:

Automation, Kubernetes, Compliance, English

ประเภทงาน:

งานประจำ

• Develop IT and digital transformation strategies based on TM Forum s Open Digital Architecture (ODA) and industry best practices..
• Guide TechCo transformation by defining cloud-native architectures, open APIs, and automation frameworks..
• Assess and implement emerging technologies (Cloud, AI, Blockchain, IoT, 5G, Edge Computing) for business impact and competitive advantage..
• Define IT governance, operating models, and technology investment roadmaps to support agile and digital-first operations..
• Cloud & Agile IT Operating Model.
• Drive cloud adoption (AWS, Azure, GCP) and help organizations transition to fully cloud-native, API-driven architectures..
• Enable composable IT architectures, leveraging microservices, Kubernetes, and containerization to enhance flexibility and scalability..
• Implement DevSecOps, CI/CD pipelines, and automation strategies to improve software delivery speed and quality..
• Ensure alignment with TM Forum s Open APIs and best practices for seamless ecosystem integration..
• IT Governance, Risk & Compliance.
• Establish IT governance models aligned with TM Forum TechCo principles..
• Ensure IT strategies support data privacy, security, and regulatory compliance (GDPR, CCPA, cybersecurity standards)..
• Optimize IT cost structures and ensure high ROI on technology investments..
• Stakeholder Engagement & Leadership.
• Collaborate with business, IT, and product teams to bridge gaps between technology strategy and business objectives..
• Engage with TM Forum communities and working groups, contributing to industry-wide digital transformation initiatives..
• Lead technology roadmaps, vendor assessments, and system integrator partnerships to enable TechCo agility..
• Stay ahead of industry trends, emerging digital business models, and technology disruptions..
• 5+ years of experience in IT Strategy, Digital Transformation, Enterprise Architecture, or Technology Consulting..
• Strong knowledge of TM Forum s Open Digital Architecture (ODA), Open APIs, and TechCo transformation frameworks..
• Experience designing cloud-native, API-first architectures for agile digital enterprises..
• Hands-on expertise with cloud platforms (AWS, Azure, GCP), microservices, and AI-driven automation..
• Deep understanding of DevSecOps, CI/CD, and Agile IT methodologies..
• Proven ability to engage with executives, influence technology decisions, and lead large-scale IT transformations..
• Excellent communication, problem-solving, and analytical skills..
• Good written and verbal communication, presentation of both Thai and English skills..
• Bachelor s degree in IT, Computer Science, Engineering, or related field (MBA, Master s, or TM Forum certifications such as Open Digital Framework (ODF) are a plus)..

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

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

ทักษะ:

Finance, Accounting, Statistics

ประเภทงาน:

งานประจำ

• Strategic Leadership in Data & AI Initiatives: Lead the planning, development, and execution of digital, data, and AI strategies aligned with business goals..
• Cross-functional Collaboration & Stakeholder Engagement: Act as a liaison between technical teams (data scientists, engineers) and business units (marketing, sales & operations, finance & Accounting).
• Oversight of AI/Data Solution Delivery: Ensure end-to-end delivery of high-impact AI/data projects..
• Design and implement enterprise-level data and AI architectures that drive strategic business outcomes.
• Evaluate and select the best technologies and frameworks for data and AI initiatives.
• Collaborate with stakeholders to define requirements and deliver tailored data solutions.
• Provide technical leadership in the integration of AI technologies with existing systems.
• Drive innovation by leveraging emerging trends in AI, machine learning, and big data.
• Establish architectural standards and best practices for data and AI solutions.
• Mentor technical teams, providing guidance on complex architectural challenges.
• Represent the organization s data and AI capabilities in discussions with executive leadership and external stakeholders.
• Bachelor s degree or Master s degree or Ph.D. in Statistics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Data Science, Economics, Business, AI, Machine Learning or related fields.
• At least 5 year+ experience in Software Engineer, Data Engineer, Data Scientist, AI Engineer or others.
• Experience in data and AI architecture, with significant experience in enterprise-level solution design.
• Experience in supply chain and logistics analytics based on SAP ECC and S/4 HANA.
• Extensive expertise in cloud platforms, big data technologies, and advanced AI frameworks.
• Professional certifications in architecture and AI solutions (e.g., TOGAF, Azure/AWS Data Scientist) are required.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

ทักษะ:

Continuous Integration, Jenkins, DevOps

ประเภทงาน:

งานประจำ

• Design, build, maintain, and optimize CI/CD (Continuous Integration/Continuous Deployment) pipelines using tools like Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Automate infrastructure provisioning, configuration management, and deployment using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, CloudFormation, Puppet, Chef).
• Manage and monitor cloud infrastructure environments (primarily AWS, Azure, or GCP - ...
• Implement and manage containerization (Docker), container orchestration (Kubernetes), and GitOps continuous delivery workflows (e.g., using Argo CD).
• Develop and maintain robust monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack, Datadog, CloudWatch) to ensure system health and performance.
• Collaborate with software developers to improve application deployability, performance, and reliability.
• Implement and enforce security best practices across the infrastructure and deployment lifecycle (DevSecOps principles).
• Troubleshoot and resolve issues related to infrastructure, deployments, and system performance.
• Manage source code repositories (e.g., Git) and implement branching/merging strategies.
• Automate routine operational tasks through scripting (e.g., Bash, Python, PowerShell).
• Document infrastructure, systems, and processes.
• Stay current with the latest DevOps tools, technologies, and best practices.
• Experience with managing or supporting databases such as MongoDB, MySQL, and PostgreSQL.
• Bachelor s degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Experience with Infrastructure Engineer for 1-3 years.
• Skilled in CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and IaC (Terraform, Ansible).
• Experienced with cloud platforms (AWS, Azure, GCP) and container tools (Docker, Kubernetes, Argo CD).
• Proficient in monitoring and logging tools (Prometheus, Grafana, ELK, Datadog).
• Strong scripting skills (Bash, Python) and Git version control.
• Knowledge of DevSecOps, database support (MongoDB, MySQL, PostgreSQL), and system troubleshooting..
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date.
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*.
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ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, English

ประเภทงาน:

งานประจำ

• Analyze and organize raw data.
• Combine raw information from different sources.
• Designing and building data models to support business requirements.
• Developing and maintaining data ingestion and processing systems.
• Implementing data storage solutions. (databases and data lakes).
• Ensuring data consistency and accuracy through data validation and cleansing techniques.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Working together with cross-functional teams to identify and address data-related issues.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• 2-5 years of experience as a data engineer or in a similar role.
• Experience with schema design and dimensional data modeling.
• Experience and knowledge in Python development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience designing, building, and maintaining data processing systems.
• Experience with orchestration tools e.g. batch and real-time data processing.
• Experience with CICD pipeline data.
• Experience with big data.
• Familiarity with data integration and ETL tools.
• Strong problem-solving and analytical skills.
• Able to speak Thai fluently and basic command in English.

ทักษะ:

Java, AJAX, Software Development

ประเภทงาน:

งานประจำ

• Design and Develop applications based on web application by using programming language such as Java, JavaScript, object oriented design concept and database stored procedure. Able to develop application by using JavaScript, ajax or bootstrap development tool..
• Design test cases, test scenario and generate test script to unit test, functional test the overall programs, execute test, analyze and conclude the result in test report.
• Understand the requirement and detailed design to develop application which meet requirement target. Able to clarify requirement and match requirement to programming algorithm to development.
• Analysis impact assessment with external systems which interface to corporate business applications.
• Support and solve problems of corporate business applications by analyzing production errors, finding root cause and find out interim and long-term solution after project launch..
• Bachelor's degree in Engineer, Computer Science or IT related field.
• At least 4-5 year experiences in software development.
• Computer Language - web application, Java, J2EE, JSP, Java Servlet, Spring, Hibernate, EJB, Strut, JavaScript, PL/SQL, Ajax or bootstrap development tool..
• Well knowlege with new application technology - Container, Docker, Cloud platform, CI/CD on cloud platform.
• Secure coding that comply PCI-DSS standard.
• OS & Database - Oracle, Unix, Linux, MySQL, SQL Command/Server, SQL Tunning..
• Design and Implement Customer Data Tracking System
• Define tracking mechanisms across multiple customer touchpoints, including Mobile Applications, Websites, Call Centers, and Physical Stores.
• Develop and standardize Event Schema for tracking customer interactions across different platforms.
• Structure data to facilitate behavioral analysis and personalization strategies..
• Backend Tracking System Design & Implementation
• Architect the backend tracking system using event-driven architecture via Service Bus or Event Streaming Platforms (e.g., Kafka, RabbitMQ, Azure Service Bus).
• Collaborate with DevOps, Backend, and Data Engineering teams to ensure accurate data collection and usability..
• Develop SDKs/Libraries for Tracking
• Develop SDKs or JavaScript Libraries for easy integration into Mobile and Web applications.
• Establish guidelines and provide technical consultation to development teams for proper tracking implementation..
• Consultation and Data Tracking Validation
• Assist Product, Marketing, and Data Science teams in defining Event Tracking Values to ensure meaningful data collection.
• Validate tracking accuracy and help optimize tracking implementation..
• Design Personalized Offering & Recommendation Systems
• Work closely with Data Science teams to design and implement a Personalized Offering System based on customer behavior.
• Define strategies for personalized product recommendations and service offerings.
• Bachelor's degree in Engineer, Computer Science or IT related field.
• Proficiency in mobile (Java, Kotlin, Swift, React Native, Flutter) and web (JavaScript, Python, HTML, CSS) languages, Understanding Frameworks (React, Angular, Vue.js, NestJS), Mobile/web development lifecycle knowledge, Database (SQL, NoSQL) and API expertise, Version control (Git), Cloud Platform knowledge. and Testing and Debugging.
• Requirements gathering/analysis, System design. Problem-solving, Communication, Basic Project, Management and UI/UX understanding.

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

node.js, ERP, Compliance

ประเภทงาน:

งานประจำ

• Develop and maintain applications using OutSystems, and Power Platform.
• Implement custom solutions using Node.js, React, and databases when advanced functionality is required.
• Ensure seamless user experience and performance optimization for all applications.
• RPA & Automation.
• Design and implement RPA solutions using UIPath, Power Automate, or other RPA tools to automate business processes.
• Work closely with business teams to identify, analyze, and automate repetitive tasks to improve operational efficiency.
• Integrate RPA with existing low-code applications and enterprise systems.
• API Integration & System Connectivity.
• Integrate third-party APIs, databases, and enterprise applications (ERP, CRM, etc.) into solutions.
• Design scalable and secure data exchange between platforms.
• Collaboration & Mentorship.
• Work in a team-oriented environment, collaborating with Digital Technology teams.
• Provide technical guidance to junior developers and assist in code reviews.
• Work with stakeholders to gather feedback and continuously enhance application performance and usability.
• Security, Compliance, & Best Practices.
• Ensure all applications follow security best practices, data governance, and compliance standards.
• Implement CI/CD pipelines and version control for smooth deployments.
• Continuously explore and implement new technologies to optimize system performance and development efficiency.
• Education.
• Bachelor s degree in Computer Science, Information Technology, or a related field.
• An advanced degree or relevant certifications in low-code development, RPA, cloud computing, or software engineering is highly desirable.
• Experience.
• Minimum of 5+ years of experience in software development, application design, or system integration within a dynamic, multi-domain business environment.
• Demonstrated experience in leading digital transformation projects, developing low-code applications, and working within agile or iterative development frameworks.
• Proven track record of managing complex system integrations, API implementations, and vendor evaluations (including RFI/RFP processes).
• Experience or knowledge of DevOps principles, including automation, deployment, monitoring, and IaC (Infrastructure as Code).
• Technical Skills.
• High-Code Development: Strong programming skills in Node.js, React (JavaScript/TypeScript), and database technologies (SQL, NoSQL).
• Low-Code Development: Expertise in OutSystems, and Microsoft Power Platform (Power Apps, Power Automate, Power BI).
• RPA & Automation: Hands-on experience with UIPath, Power Automate, or other RPA tools to automate workflows and improve business efficiency.
• API & System Integration: Experience in designing, developing, and integrating APIs with enterprise systems (ERP, CRM, databases).
• Process Mapping & Documentation: Familiarity with Lucidchart, Figma, or similar tools for workflow visualization and documentation.
• Cloud Platforms: Practical knowledge of cloud environments such as AWS, Google Cloud, and Azure to support scalable and flexible technology solutions.
• Security & Compliance: Understanding of data governance, compliance standards, and application security best practices.

ทักษะ:

Java, Python, Software Development

ประเภทงาน:

งานประจำ

• Collaborate with business stakeholders, product owners, and technical teams to understand functional and non-functional requirements.
• Design and document robust, scalable, and secure end-to-end solutions, considering cloud (e.g., AWS, Azure, GCP), on-premise, or hybrid deployment models.
• Create and maintain architectural artifacts, including system diagrams, data flow diagrams, technical specifications, and decision logs.
• Evaluate and recommend appropriate technologies, platforms, frameworks, and tools based on project needs, cost-effectiveness, and strategic alignment.
• Provide technical leadership, guidance, and mentorship to development teams throughout the software development lifecycle (SDLC).
• Ensure proposed solutions adhere to enterprise architecture standards, security policies, and best practices.
• Identify and mitigate technical risks associated with proposed solutions.
• Conduct proof-of-concepts (PoCs) and feasibility studies for new technologies or approaches.
• Communicate complex technical concepts effectively to both technical and non-technical audiences.
• Stay current with emerging technology trends, cloud services, and architectural patterns.
• Ability to read and understand code (mentioning specific languages like Java, Python, Node).
• Experience in debugging, root cause analysis, and scoping technical issues.
• Bachelor s degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Experience with System Analyst for 1-2 years.
• Proficient in cloud architecture (AWS, Azure, GCP) and secure system design.
• Strong communicator with cross-functional collaboration skills.
• Skilled in Java, Python, Node.js, and debugging issues.
• Experienced in SDLC and providing technical guidance.
• Passionate about tech trends and continuous improvement.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*..
• Don't forget to 'Like' and 'Follow' our social media channels so you won't miss any news from us. Click.