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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Java, RESTful, Web Services, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Designing, developing, and maintaining integration & Architecture solutions.
- Ensuring seamless data flow across the organization.
- Working closely with other developers, and business stakeholders to understand requirements and deliver high-quality integration solutions.
- Understanding of RESTful and SOAP web services, data transformation, and error handling.
- having excellent problem-solving skills, be detail-oriented, and have the ability to work in a fast-paced environment.
- Ensuring our integration & Architecture solutions are efficient, scalable, and secure.
- Applying integration technologies and have a proven track record of delivering successful projects.
- Design and develop large integration solutions.
- Create and manage APIs.
- Integrate various systems and ensure seamless data flow.
- Collaborate with developers and business stakeholders.
- Understand and translate business requirements into technical solutions.
- Perform data transformation and error handling.
- Ensure integration solutions are efficient, scalable, and secure.
- Conduct code reviews and provide feedback to team members.
- Troubleshoot and resolve integration issues.
- Document integration processes and solutions.
- Participate in Agile development processes.
- Develop and maintain unit and integration tests.
- Optimize performance of integration solutions.
- Ensure compliance with security and data protection standards.
- Monitor and maintain integration environments.
- Participate in continuous improvement initiatives. Requirements.
- Bachelor s degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in JAVA developer and Java-script framework.
- Proficiency in Any JAVA Platform and JVM.
- Experience with Micro-service management and /distributed messaging queue.
- Strong understanding of RESTful and SOAP web services.
- Experience with data transformation and error handling.
- Excellent problem-solving skills.
- Ability to work in a fast-paced environment.
- Strong communication and collaboration skills.
- Experience with Agile development processes.
- Knowledge of security and data protection standards.
- Ability to troubleshoot and resolve integration issues.
- Strong attention to detail.
- Experience cloud platforms (e.g., AWS, GCP) is a plus.
- Knowledge of Java, XML, JSON, and SQL.
- Experience with CI/CD tools and processes.
- ability to document technical solutions and processes.
- Experience with performance optimization.
- Good in English, both written and spoken.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Excel, Data Analysis, Budgeting, Good Communication Skills, Import / Export, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ20,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Update vessel schedule 3 weeks a month. (Pivot table Excel).
- Check the quantity issued shipping schedule and update the shipping schedule.
- Issued shipping advice and updated shipping advice (add B/L number for vessel that ATS in shipping scheduled: excel).
- Follow up tracking vessel and update information to team and customers.
- Managed container damage cases from start to finish complete, Send container damage claims to EGA and managed within 30 days and summary reports to the manager 25th every end of the month.
- Making problem solution presentations in case sent to customers (in case). Strategy for Payment Support.
- Manage Bonded warehouse ( in-out), and consignment Stock until completed process (all process) and report to the CEORecord the work process step by step in all cases. (Coordinate with EGA and FG).
- Report inventory for suppliers after inbound/outbound.
- Bonded warehouse rental rental..
- Coordinate with the payment departmentDouble the B/L document.
- Update ETA and follow up payment plan/document plan (In case).
- Coordinate with the payment department for support information.
- Have at least 1 year of experience working in the logistics field.
- Have an understanding of logistics operations.
- Able to speak and write in English.
- Able to use Microsoft Excel.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Excel, Power BI, Problem Solving, Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāđāļ§āļĨāļēāļāļēāļĢāđāļāđāļēāļĢāļąāļ-āļāļąāļāļŠāđāļāļāļĨāļīāļāļ āļąāļāļāđ.
- āļāļąāļāļāļēāļĢāļēāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļĢāļēāļĒāļ§āļąāļ-āļŠāļąāļāļāļēāļŦāđ-āđāļāļ·āļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļļāļāļāļĨāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļāļāļāđāļĢāđāļāļ·āđāļāļāļģāđāļāļīāļāļāļēāļĢāļāđāļēāļāđāļĨāļāļīāļŠāļāļīāļāļŠāđāļāļĢāļ°āļāļģāļ§āļąāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āļāļ§āļāļāļļāļĄāļāļļāļāļ āļēāļ āđāļĨāļ°āļāļąāļāļāļēāļāļēāļĢāļāļĢāļīāļāļēāļĢāđāļŦāđāļāļĩāļāļķāđāļ.
- āļŦāļēāđāļāļ§āļāļēāļāļāđāļāļāļāļąāļāđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļĨāļ°āļāļāļīāļāļąāļāļīāļāļēāļĄāļŦāļāđāļēāļāļĩāđāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļāļ§āļļāļāļīāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļāļēāļĢāļāļąāļāļāļēāļĢāđāļĨāļāļīāļŠāļāļīāļāļŠāđ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāđāļĄāđāļāđāļāļĒāļāļ§āđāļē 2 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ āļāļāļāļ.
- āļĄāļĩāđāļŦāļ§āļāļĢāļīāļāđāļāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ.
- āđāļāđāđāļāļĢāđāļāļĢāļĄāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļ·āđāļāļāļēāļ MS-Office.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļ MS-Excel, Pivot table, Power BI.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĩāđāļĒāļ§āļāļąāļ Operation research (Optimization).
- āļāļ§āļēāļĄāļĢāļđāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ āļāļąāļ āļāļđāļ āļāđāļēāļ āđāļāļĩāļĒāļ āļĢāļ°āļāļąāļāļāļēāļāļāļĨāļēāļ.
āļāļąāļāļĐāļ°:
SQL, Oracle, Data Warehousing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field.
- At least 7 years of experience as a Data Engineer or in a related role.
- Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
- Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
- Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of data governance, security, and privacy frameworks in a financial services context.
- Excellent problem-solving skills and attention to detail.
- Experience working with Data Visualization or BI tools like Power BI, Tableau.
- Familiarity with machine learning concepts, model deployment, and AI applications.
- Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
- Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer)..
- Contact:.
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āļāļąāļāļĐāļ°:
ETL, DevOps, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Pipeline Development: Design, implement, and optimize scalable ETL/ELT pipelines to ingest, transform, and store structured and unstructured data in a cloud environment (AWS is a core but not limit).
- Machine Learning Pipeline Development: Work collaboratively with data scientists to productionize and maintain scalable machine learning services. The solutions encompass a variety of approaches, including traditional and near real-time machine learning, deployed across multi-state service architectures.
- Data Platform: Collaborate closely with DevOps and infrastructure teams to design, implement, and manage scalable data storage and processing platforms. Leverage AWS services such as S3, Redshift, Glue, Lambda, Athena, and EMR to ensure performance, reliability, and cost-efficiency.
- Data Modeling and Schema Management: Develop and maintain robust data models and schemas to support analytics, reporting, and operational requirements. Adhere to the design principle of establishing a "single version of truth" to ensure consistency, accuracy, and reliability across all data-driven processes.
- Data/AI Quality-as-a-Service Development: Design, develop, and maintain scalable "Data/AI Quality-as-a-Service" solutions, adhering to zero-ops design principles. The scope of quality includes monitoring data drift, analyzing performance metrics, and detecting model drift to ensure consistent, reliable, and high-performing AI systems.
- Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and application developers to ensure the seamless integration of data solutions into workflows, enhancing functionality and enabling data-driven decision-making.
- Automation & Monitoring: Design and implement robust monitoring and automation frameworks to ensure the high availability, performance, and cost-efficiency of data workflows, guided by the principle of "Zero Ops by Design.".
- Compliance & Security: Uphold data security, privacy, and compliance with banking regulations and industry standards, ensuring all solutions meet rigorous governance requirements.
- Continuous Improvement: Stay informed about emerging technologies and trends in cloud data engineering, advocating for their adoption to enhance system capabilities and maintain a competitive edge.
- Educational BackgroundBachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related field.
- Experience3+ years of experience in cloud data engineering or similar roles.
- Proven expertise in cloud data technologies.
- Hands-on experience with big data technologies such as Apache Spark.
- Technical SkillsProficiency in SQL and programming languages such as Python, Java, or Scala.
- Expertise in data pipeline and workflow orchestration tools for both batch and real-time processing (e.g., Apache Airflow, AWS Step Functions).
- Understanding of data warehouse and lakehouse architectures.
- Familiarity with software development best practices, including SDLC concepts, CI/CD/(+CL) pipelines, and Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation).
- Other SkillsStrong problem-solving and analytical thinking capabilities.
- Excellent communication and collaboration skills.
- Preferred QualificationsAWS Data Analytics - Specialty certification or equivalent experience.
- Experience in banking or fintech environments. Understanding of financial data and regulatory requirements.
- Familiarity with real-time data processing and stream analytics.
- Experience in working end-to-end with data scientists and analysts as part of "AnalyticsOps" to develop and maintain ML/AI services is a strong advantage.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ".
āļāļąāļāļĐāļ°:
Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor degree or higher in Computer Science or related filed.
- There are 5-8 years, Experience on Premise and Cloud.
- Able to do Cloud design, evaluation, POC, implementation.
- Self-Motivation and Hard Working.
- Able to work some time on night and weekend by job duties.
- Able to troubleshooting related to Cloud Services problem.
- Willing to self-study for Cloud knowledge and learn new knowledge from team.
- Good communication,interpersonal, problem-solving, presentation, and negotiation skill.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work at Infinitas By Krungthai Co., Ltd.
- The Data Innovation Team at Infinitas by Krungthai is a centralized data enabler designed to serve both the digital and traditional arms of Krungthai Bank. We focus on providing cutting-edge data solutions, empowering teams with actionable insights, and driving business transformation. We are looking for an Analytics Engineer to join our team, focusing on automation, reporting, and DataOps. This key role will help streamline data pipelines, automate
- reporting workflows, and provide high-quality, data-driven insights to enhance decision- making.
- Our team responsibilities
- o Automation of Analytics Pipelines
- Develop and Maintain Automated Data Pipelines: Build and maintain robust data pipelines for reporting and analytics using cloud-native technologies such as AWS Glue, Redshift, and Lambda.
- Streamline Automation Frameworks: Ensure the high availability, performance, and cost-efficiency of data workflows by adhering to Zero Ops by Design principles, ensuring that data pipelines run seamlessly with minimal manual intervention.
- Timely, Accurate Reporting: Automate reporting processes to ensure consistent, accurate, and timely delivery of business insights.
- o Advanced Reporting & Analytics
- Reporting Systems Design & Optimization: Design, implement, and optimize reporting systems that deliver actionable insights to key business stakeholders.
- BI Tools & Dashboards: Use visualization tools such as Tableau, Grafana, and AWS Quick Sight to create dynamic, self-service dashboards and reports, empowering teams to make data-driven decisions.
- o Data Modeling and Schema Management
- Develop Robust Data Models & Schemas: Design and maintain data models and schemas that support analytics, reporting, and operational needs.
- Single Version of Truth: Ensure consistency, accuracy, and reliability by establishing a "single version of truth," providing a consistent data framework across the organization.
- o Quality-as-a-Service Development
- Build Scalable Quality Solutions: Design and maintain "Data/AI Quality-as-a-Service" solutions to monitor data drift, analyze performance metrics, and detect data issues early in the process.
- Zero-Ops Design for Quality Monitoring: Ensure the high availability and performance of quality solutions while aligning with zero-ops design principles, minimizing operational overhead.
- o Cross-Functional Collaboration
- Collaborate with Teams: Work closely with data scientists, analysts, and application developers to integrate data solutions seamlessly into their workflows, enabling advanced analytics and enhancing decision-making capabilities.
- o Compliance & Security
- Ensure Data Security & Compliance: Uphold data security and privacy standards while ensuring all solutions comply with banking regulations and industry governance requirements.
- Governance Standards: Maintain rigorous governance practices for data access, privacy, and security across all automated reporting systems.
- o Continuous Improvement
- Technology Advocacy: Stay informed about emerging trends in cloud data engineering, automation, and analytics. Advocate for the adoption of new technologies that can enhance system capabilities and maintain a competitive edge.
- Drive Continuous Improvement: Continuously refine processes and solutions to ensure they remain optimized for both performance and cost.
- Essential Skills & Experience
- o Bachelor's degree in Computer Science, Engineering, Business Information System or a related field.
- o 2+ years of experience in data engineering, automation, or analytics engineering, focusing on reporting and business intelligence in the financial or banking sector.
- o Expertise in cloud platforms (AWS preferred) and technologies such as AWSGlue, Redshift, Lambda, and S3.
- o Experience with BI/Visualization tools (e.g., Tableau, Grafana, AWS QuickSight).
- o Strong understanding of data modeling principles, ETL/ELT processes, and creating data schemas for reporting and analytics.
- o Proficiency in SQL, Python, or other relevant programming languages.
- o Familiarity with "Zero Ops by Design" principles and automation frameworks.
- Preferred Skills
- o Knowledge of financial regulations and their impact on data governance and reporting in the banking sector.
- o Experience in building and maintaining "Data/AI Quality-as-a-Service" solutions for monitoring and ensuring data quality.
- o Familiarity with DevOps practices and CI/CD pipelines for analytic engineering solutions.
- o Experience in setting up and maintaining high-performing, scalable reporting systems.
- o Understanding of advanced analytics and machine learning concepts.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ".
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Linux, CompTIA Security+, Network Administration, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Oversee power, cooling, and cabling; install, configure, and maintain servers, storage, and network hardware.
- Ensure 24/7 system availability through proactive monitoring, performing routine health checks on servers, storage systems, and networks.
- Diagnose and resolve server, network, and application performance issues; escalate critical incidents and ensure swift resolution.
- Implement security protocols (firewalls, access controls) and ensure compliance with industry standards and internal policies.
- Manage data backup processes and conduct disaster recovery tests to ensure business continuity.
- Execute hardware and software upgrades for servers, networks, and storage systems, and maintain thorough documentation of configurations and processes.
- Bachelor s degree in IT, Computer Science, or related field.
- Experience in data center operations, Linux, and Microsoft system administration.
- Familiarity with ServiceNow and network administration.
- Certifications like CCNA, CompTIA Network+, or relevant Microsoft certifications (e.g., MCSA) are preferred.
- Flexible to relocation.
- Good command in English (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Google Cloud Platform, DevOps, Python, Docker, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, implement, and manage cloud infrastructure using best practices.
- Monitor system performance and reliability; troubleshoot and resolve incidents promptly.
- Collaborate with development teams to ensure services are built with reliability and scalability in mind.
- Automate manual processes through scripting and development of tools.
- Implement and manage CI/CD pipelines to streamline deployment processes.
- Conduct capacity planning and performance tuning to optimize system efficiency.
- Develop and maintain documentation for system architecture, processes, and procedures.
- Participate in on-call rotations to respond to system alerts and outages.
- Foster a culture of reliability by driving initiatives around incident management, postmortems, and root cause analysis.
- Bachelor s degree in computer science, Engineering, or a related field.
- Proven experience in cloud platforms (AWS, Azure, GCP).
- Strong understanding of system architecture, networking, and security best practices.
- Proficiency in programming/scripting languages (Python, Go, Bash, etc.).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
- Experience with infrastructure as code tools (Terraform, CloudFormation).
- Knowledge of DevOps practices and methodologies.
- Familiarity with agile development processes.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Flexible to relocation.
- Good command in English (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Big Data, Hive, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, implement, and maintain data analytics pipelines and processing systems.
- Experience of data modelling techniques and integration patterns.
- Write data transformation jobs through code.
- Analyze large datasets to extract insights and identify trends.
- Perform data management through data quality tests, monitoring, cataloging, and governance.
- Knowledge in data infrastructure ecosystem.
- Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
- Build data visualizations to communicate findings to stakeholders.
- A willingness to learn and find solutions to complex problems.
- Stay up-to-date with the latest developments in data analytics and science.
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact: [email protected] (K.Thipwimon).
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
Procurement
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design & Develop solution to cover all required FBB & WIFI core network area and fulfill business and service requirement for Consumer, SME, Enterprise & FMC.
- Determine cost structure and propose best practice investment efficiency and control investment within assigned annual budget.
- Engage in exploration on new technology FBB & WIFI core network, data center and IT related system, which can lead to fulfill business requirements, evaluation and short listed for future procurement.
- Design and Develop network planning and operation tool to digitalize planning & operation process.
- Bachelor or higher degree in Computer, IT, or Telecom Engineering.
- At least 3-10 years experience in Mobile operator, Broadband network company especially in core network domain.
- Strong knowledge in Core Network (MPLS, BNG, DPI,CGN, DHCP, AAA) & IT System Infrastructure (Switch, Load Balance, Firewall/WAF, Server, Storage) Design/Planning.
āļāļąāļāļĐāļ°:
Quality Assurance, Assurance, Contracts
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support BARE Supply Chain Lead to ensure the overall Quality and Food Safety Systems for Foods, includes supplier quality assurance, manufacturing process, and logistic to deliver consumer satisfaction with safe products of 2 Co-manufactoring plant.
- Support BARE Supply Chain Lead to deliver the Quality Plan to support business sustainable growth.
- Responsibilities:Support Logistics and Transporation from Thailand to international markets.
- Support documents and contracts.
- Review and validate purchase orders and invoices of freight forwarder companies.
- Monitor status of International shipments.
- Coordinate with 4PL cross functional team to ensure all compliances on the existing markets.
- Coordinate with 4PL cross functional team as well as co-man to ensure all compliances on the new markets.
- Conduct investigations of ocean freight or transportation related incidents.
- Qualifications:Bachelor s Degree or higher in Science and Technology, Business Administration or related fields.
- Experience in FMCG or similar business.
- Experience in International Logistics at least 2 years.
- Good communication/interpersonal skills.
- Ability and flexibility to multitask and deal with different functions.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļ§āļāļāļļāļĄāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļīāļāļāļēāļĄāļāļēāļāļāļąāļāļāļđāđāļĢāļąāļāđāļŦāļĄāļēāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļēāļāđāļĨāļ°āļĢāļ°āļĒāļ°āđāļ§āļĨāļē āļāļĩāđāļāļģāļŦāļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļĨāļđāļāļāđāļē āđāļāļ·āđāļāđāļāđāđāļ Defact āđāļāļ·āđāļāļŠāđāļāļĄāļāļāļŦāđāļāļāļĨāļđāļāļāđāļē.
- āļāļĢāļ§āļāļŠāļāļāļĢāļēāļĒāļāļēāļāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāļāđāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļēāļāļēāļĄāļāļĢāļāļāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāļĒāđāļēāļāļŠāļĄāđāļģāđāļŠāļĄāļ.
- āļāļąāļāļĢāļē: āđāļĄāđāļĢāļ°āļāļļ āļāļģāđāļŦāļāđāļāđāļāļīāļāđāļāļ·āļāļ: N/A āļāļēāļāļŠāļāļēāļāļāļĩāđāļāļāļīāļāļąāļāļīāļāļēāļ: āđāļāļ§āļāļāļĨāļāļāļāļąāļāđāļŦāļāļ·āļ āđāļāļāļ§āļąāļāļāļē āļāļąāļāļŦāļ§āļąāļāļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ āļāļąāļāļŦāļ§āļąāļ: āļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢāđāļāļ: āļāļĨāļāļāđāļāļĒ, āļ§āļąāļāļāļēāļāļļāļāļŠāļĄāļāļąāļāļīāļāļđāđāļŠāļĄāļąāļāļĢāļāļēāļ: 1. āđāļāļĻāļāļēāļĒ āļāļēāļĒāļļāđāļĄāđāđāļāļīāļ 40 āļāļĩ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļāļĢāļīāļāļāļēāļāļĢāļĩ āļāļķāđāļāđāļ āļŠāļēāļāļēāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĒāļāļē
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļ§āļāļāļļāļĄāļāļēāļāļāđāļāļŠāļĢāđāļēāļāļāļēāļāļēāļĢāļŠāļđāļāļāļĒāđāļēāļāļāđāļāļĒ 2 āļāļĩāļāļķāđāļāđāļ
- āļĄāļĩāļāļļāļāļĨāļīāļāļāļĩ āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļāļāļ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāđāļāļāļēāļāļŠāļđāļ
- Major Development is a real estate development company focusing on luxury residential development. We are now looking for qualified and active candidates to join and strengthen our business in the following positions. āļŠāļ§āļąāļŠāļāļīāļāļēāļĢ:āļāļāļāļāļļāļāļŠāļģāļĢāļāļāđāļĨāļĩāđāļĒāļāļāļĩāļ.
- āļāđāļēāļĢāļąāļāļĐāļēāļāļĒāļēāļāļēāļĨ.
- āļāļĢāļ°āļāļąāļāļāļĩāļ§āļīāļāđāļĨāļ°āļāļļāļāļąāļāļīāđāļŦāļāļļ āļāđāļēāļĢāļąāļāļĐāļēāļāļĒāļēāļāļēāļĨāļāļāđāļāđāđāļāđāļĨāļ°āļāļāļ.
- āđāļāļīāļāļŠāļāđāļāļĢāļēāļ°āļŦāđāļāļĢāļāļĩāđāļŠāļĩāļĒāļāļĩāļ§āļīāļ.
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ.
- āļ§āļīāļāļĩāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļ:āļŠāđāļ Resume āļāļĢāđāļāļĄāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļĢāļ°āļ§āļąāļāļīāļŠāđāļ§āļāļāļąāļ§ āđāļĨāļ°āđāļāļāļĢāļđāļāļāđāļēāļĒ āļŠāļĄāļąāļāļĢāļāđāļēāļāļāļēāļ Email āļāļēāļĄāļāļĩāđāļĢāļ°āļāļļāđāļ§āđ.
- āļāļīāļāļāđāļ: Human Resources DepartmentMajor Development Public Company Limited
- 141 āļāļāļĒāļāļāļāļŦāļĨāđāļ 10 āļŠāļļāļāļļāļĄāļ§āļīāļ 55 āđāļāļ§āļāļāļĨāļāļāļāļąāļāđāļŦāļāļ·āļ āđāļāļāļ§āļąāļāļāļē āļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ 10110
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Mechanical Engineering, Market Analysis, Data Analysis, Customer Relationship Management (CRM), English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and implement robust sales plans based on detailed market analysis to drive conversions and achieve sales targets.
- Monitor and analyze sales data and market trends to adjust strategies as necessary.
- Identify and develop marketing opportunities, planning and executing innovative sales initiatives.
- Craft detailed customer profiles to tailor sales strategies effectively.
- Spearhead initiatives related to OSE projects, ensuring alignment with broader business goals.
- Expand product knowledge, focusing on innovative designs and market needs.
- Enhance product knowledge, especially on advanced designs like Flat Tube.
- Analyze market data and develop strategic market approaches.
- Include SWOT analysis, market capacity for Aluminum Fin Profiles, import trends, and key market players.
- Manage local and import data, including capacity for Evaporators, Heater Cores, and other relevant products.
- Provide insights on quality certifications and compliance standards.
- Foster and maintain strong relationships with clients, ensuring a superior customer experience.
- Prepare for and lead customer meetings, creating detailed reports and presentation materials to support business objectives.
- Support the expansion of the market presence both domestically and internationally.
- Apply engineering principles to manage and optimize logistics operations.
- Oversee the logistics flow from production to delivery, ensuring efficiency and cost-effectiveness.
- Collaborate with the logistics team to streamline processes, reduce bottlenecks, and enhance customer satisfaction.
- Bachelor s or Master s degree in Business Administration, Marketing, Engineering, or related field.
- Special consideration for candidates from the Faculty of Management Engineering.
- A minimum of 5 years of experience in a sales leadership role, preferably in the manufacturing or technical field.
- Strong leadership capabilities with experience managing cross-functional teams.
- Advanced analytical and strategic thinking skills, with a proven track record of enhancing sales performance.
- Excellent verbal and written communication skills, with proficiency in creating detailed reports and presentations.
āļāļąāļāļĐāļ°:
Automation, GraphQL, RESTful
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and develop the business logic and backend systems of the product.
- Work closely with frontend developers to design and develop functional, performing and complete APIs.
- 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.
- You have experience as a backend engineer in common languages and frameworks, e.g., Node Js, ExpressJS, NestJS or any other JS framework.
- You have experience in AWS.
- You have experience in GraphQL.
- 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 database systems, with knowledge of SQL and NoSQL stores, e.g., MySQL, MongoDB, Redis, Postgres.
- You are able to write effective unit, integration, and API tests. It is a plus if you experience integrating with JavaScript frameworks, such as React.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
VMware, Kubernetes, Docker, UNIX, Linux, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ50,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Take care of medium enterprise implementing infrastructure and services.
- Implementing and monitoring Cloud infrastructure system.
- Take care of VMware Products.
- Stand-by service as request.
- Master or Bachelor's Degree in Computer Science, Information Technology.
- Computer skills: Windows, UNIX, LINUX, Servers Skill, Network & Security Skills, and etc.
- Require Certificate of VMWare vSphere Install, Configure, Manage V5.1.
- Willing to participate in non-standard working time models (Willing to work on a flexible time including after office hours, holidays and weekend).
āļāļąāļāļĐāļ°:
Product Owner, Automation, node.js
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Build applications, ensuring that the code is high quality, well documented, efficient, and follows the latest coding practices, modern design patterns, architectural principles and industry standards.
- Support product owner in defining future stories and tech lead in defining technical designs.
- Design and develop the business logic and backend systems of the MVP experience.
- Work closely with other developers and QAs to understand the system end-to-end.
- Write unit, integration tests and functional automation, and challenge ideas and opinions to avoid pitfalls and inefficient solutions.
- In the future, this role may evolve to include product support & QA responsibilities.
- You are experienced and highly performance in at least one backend and frontend framework, e.g., SpringBoot, node.js (or related frameworks e.g. hapi.js, express.js, metor.js), nest.js, ReactJS, ReactNative.
- You have experience in writing unit and acceptance tests, air programming, continuous integration, test-driven development, and incremental design.
- You have experience with code refactoring, design patters, design-driven development, continuous deployment, and highly scalable applications.
- You demonstrate experience in distributed and modular architectures e.g. microservices-based.
- You are excellent understanding of latest development technologies.
- You have high energy, strive towards cross-functional development in agile methodologies, inspire teammates to reach their maximum potential, embrace a culture of trust and complete transparency, promotes free thought, brave, rebellious, and willing to challenge status quo.
āļāļąāļāļĐāļ°:
DevOps, Software Development, Continuous Integration
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- The Senior Lead DevOps Engineer is responsible for enhancing software development and releasing lifecycle efficiencies by modernizing our processes and workflows and creating a robust Continuous Integration/Deployment pipeline. They will provide guidance in organizing, securing, and automating existing product development workflows and must be proficient with agile development processes and industry standard methodologies.
- We are looking for intellectually curious individuals, passionate about the bigger p ...
- Role Responsibilities & Key Accountabilities: Develops knowledge and understanding of technologies in LSEG and utilises these in own scope of work, with others as well as to create solutions.
- Design, Implement, and maintain scalable, secure, and efficient infrastructure and deployment pipeline.
- Develop a CICD framework for the larger team to apply and modify by themselves to accelerate the development process and reduce the dependency on DevOps team.
- Incorporate the security standard, alarm/monitoring into the framework.
- Works closely with the Development team and Core DevOps team to ensure that they are adhering to our practices and fulfilling requirements.
- Collaborated within DevOps teams, sharing experience and knowledge of the environment.
- Develops trusting relationships with team and colleagues, collaborating closely with them. Communicates clearly with the team and maintains clear lines of communication to ensure full understanding of information and tasks, asking questions where needed.
- Required Qualifications & Experience: Professional qualification or equivalent.
- Expertise in building and maintaining CI/CD pipelines using GitLab CI, Jenkins, or similar tools.
- Hands-on experience in AWS. Familiar with deployment of key AWS component ECS, EC2, ELB, IAM, S3, Lambda, DynamoDB, ElastiCache, ElasticSearch, RDS, etc.
- Experience developing pipeline using Terraform.
- Experience in working Agile / Scrum environment.
- Solid understanding of containerization and orchestration tools (e.g Docker, Kubernetes).
- Understand DevOps Principles and able to apply with all assigned work.
- Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced, dynamic environment.
- Desired Experience: Strong knowledge of scripting language, preferable Python.
- Hands-on experience integration with Datadog, BigPanda, Semgrep, Blackduck.
- AWS Certifications or DevOps Certification (e.g., AWS Certified DevOps Engineer, AWS Certified Solution Architect) are a plus.
- LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Windows Server, Microsoft Office, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ16,000 - āļŋ20,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Install & Pre-install legacy and enterprise computer systems and their peripherals.
- Take calls from customers, deliver on-site support services and initiate the right response.
- Maintain & Service on legacy and enterprise computer systems and their peripherals.
- Perform PM as schedule.
- Stand-by service as request.
- Ability to work with multiple jobs.
- Able to work under time pressure./ able to work under pressure.
- Driving your own car.
- Bachelor's degree in Computer Engineering, Electronics, Electrical Engineer or related field.
- Male only.
- 0 - 3 years experience in computer field or related work.
- Computer skills: Window, Server, Storage, Basic Network, Microsoft Office and etc.
- Willing to participate in non-standard working time models (Willing to work on a flexible time including after office hours, holidays and weekend.
āļāļąāļāļĐāļ°:
GraphQL, RESTful, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Using agile engineering practices and modern development technologies, you ll transform the design into a user-friendly product, giving feedback and suggesting trade-offs when required.
- You ll design and develop the guts and logic of the front-end systems of our product.
- You ll decipher existing software systems and be able to link our application to applicable data sources both internal and external.
- You are experienced in building modern JavaScript-based applications in React Native.
- You have demonstrable experience with HTML, CSS/LESS/SCSS/etc., JavaScript, ES6+ and responsive design.
- Experience with nest.js, GraphQL and AWS.
- You have exposure to mobile development with native or web-to-native tooling and frameworks.
- You understand distributed architecture and usage of RESTful APIs and how to use them in practice.
- You are able to write effective unit, integration, and end-user automation tests.
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