- No elements found. Consider changing the search query.
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.
āļāļąāļāļĐāļ°:
Contracts, Compliance, Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Procures goods and services in support of the business operations.
- Acts as the communication link between internal customers, suppliers and external customers on pre-production ramp up and full production volume.
- Reviews requisitions, contacts vendors, examines bids and initiates contracts.
- Responsible for the procurement of parts and supplies for new products, existing products and non-production supplies.
- Initiates purchases driven through MRP process.
- Assesses when to execute and what order to place based on other factors.
- Coordinates and manages last time buys for products end of life.
- Ensures on-time delivery, purchase price variance and inventory management.
- Tracks forecast accuracy and reports back to appropriate personnel.
- Updates standard costs for assigned parts.
- Facilitates quoting and sourcing of parts to improve supply and reduce costs.
- Acts as primary contact with suppliers, internal and external customers to facilitate problem resolution for assigned material.
- Addresses and resolves situations such as supply chain shortages, allocations, bad balances, discrepant material and alternate sources of supply.
- Has responsibility for continuous improvement including data integrity and parameter management.
- Analyzes variances to determine root cause and implement corrective action.
- Manages overall relationship with and performance of suppliers.
- Meets regularly with suppliers to set goals and understand next generation of product offerings.
- Evaluates supplier performance and helps drive performance improvements.
- Develops and documents audit procedures and plans for Procurement to ensure compliance to corporate policies and procedures.
- Ensures audit readiness among all purchasing personnel.
- Coordinates and conducts internal self-audits and ISO reviews.
- Action audit findings to clear audit exposures.
- Knowledge/Skills/Competencies.
- Basic knowledge of electronic manufacturing environment, materials and processes.
- Knowledge of procurement processes, inventory management and supplier management.
- Good knowledge of the types of materials being purchased by the department.
- Good negotiation and problem resolution skills.
- Ability to handle multiple tasks while maintaining attention to detail and accuracy and working under tight time deadlines.
- Ability to evaluate, prioritize and problem solve a variety of tasks to ensure their timely and accurate completion.
- Ability to communicate effectively, both verbally and in writing, with a wide variety of internal and external customers.
- Strong knowledge of SCM policies, and procedures and ISO standards.
- Physical Demands.
- Duties of this position are performed in a normal office environment.
- Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
- Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
- Occasional overnight travel may be required.
- Typical Experience.
- Two to Four years relevant experience.
- Typical Education.
- Bachelor's degree in related field, or consideration of an equivalent combination of education and experience.
- Educational requirements may vary by geography.
- Notes.
- This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
- Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
- At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
- Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
- Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
- Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Date: 8 Dec 2024 Location: Chonburi, Sriracha (āļāļĨāļāļļāļĢāļĩ), Thailand, 20230
- ROLE & RESPONSIBILITY.
- Ensure and Maintain the availability and integrity of the system both hardware and software as a whole software based plant automation system which has multiple users and various parties involved in the maintenance and supporting.
- EDUCATION.
- Bachelor in Engineer - Instrumentation,Control Engineering, Mechatronic, Electronic, Automation.
- EXPERIENCE.
- At least 0-5 years in instrument field.
- OTHER REQUIREMENTS.
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.
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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Compliance, Quality Assurance, Assurance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop, configure and optimize processes.
- Assess processes, take measurements and interpret data.
- Design, run, test and upgrade systems and processes.
- Develop best practices, routines and innovative solutions to improve production rates and quality of output.
- Perform process simulations.
- Manage cost and time constraints.
- Perform risk assessments.
- Provide process documentation and operating instructions.
- Solve complex problems.
- Interface effectively with customers and other functional teams within Lumentum such as R&D, Product Engineering and Product Line Management to validate requirements and ensure process or technology milestones are clearly defined and achieved.
- Ensure compliance to quality assurance processes and industry best practice.
- Coach, mentor and motivate team members.
- RequirementsBachelors in engineering, or appropriate sciences.
- 3 years of experience in a fast paced electronics manufacturing environment, preferably in semiconductor or opto-electronics.
- Familiarity with the design of experiments (DOE) and statistical process control (SPC).
- Creative thinker, with strong analytical and problem solving, and project management skills.
- Ability to work in a cross-functional team and interact with all levels of management.
- Strong leadership and inter-personal, written and oral skills.
- Willing to participate in calls in multiple time zones, and occasional overseas.
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Date: 21 Dec 2024 Location: Chonburi, Sriracha (āļāļĨāļāļļāļĢāļĩ), Thailand, 20230
- EXPERIENCE.
- 0-3 years of working experience in civil engineering.
- EDUCATION.
- Bachelor s degree in Civil Engineer.
- ROLE & RESPONSIBILITY.
- Ensure Civil standard specification, best practices and meet the statutory requirement as well as compliance with regulations.
- OTHER REQUIREMENTS.
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.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĻāļķāļāļĐāļē āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļ§āļēāļāđāļāļ āļāļ§āļāļāļļāļĄ āļāļĢāļīāļŦāļēāļĢāļāļēāļ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļāļāđāļāļĄāļāļģāļĢāļļāļ āđāļāļ·āđāļāđāļŦāđāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāļāđāļģāļĄāļąāļ āđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĄāđāļāļĢāļ°āļāļāļāđāļāļāļēāļĢāļāļēāļĒāļāļāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļāļāļāļāļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āļāļģāļŦāļāļāļāļļāļāļŠāļĄāļāļąāļāļīāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļļāļāļāļĢāļāđ āđāļŦāđāđāļāđāļāļļāļāļāļĢāļāđāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāđāļāļāļēāļĢāđāļāđāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļāļāđāļāļāđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāđāļāļāđāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļāļēāļāļŠāļģāđāļĢāđāļāđāļĨāļ°āļāļđāļāļāđāļāļāļāļēāļĄāļāđāļāļāļģāļŦāļāļ āļāđāļāļāļāļŦāļĄāļēāļĒ āļŦāļĢāļ·āļāļĄāļēāļāļĢāļāļēāļāļāđāļēāļ āđ.
- āļāļ§āļāļāļļāļĄ āļāļīāļāļāļēāļĄāļāļēāļ āđāļĨāļ°āļāļ§āļāļāļļāļĄāļāđāļēāđāļāđāļāđāļēāļĒāđāļāļāļēāļĢāļāđāļāļĄ āļāļļāļāļāļĢāļāđ āđāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāļāđāļģāļĄāļąāļ āđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ.
- āļ§āļēāļāđāļāļāļāļēāļ āđāļāļĢāļĩāļĒāļĄāļāļēāļ āļāļģāđāļāļīāļāļāļēāļĢ āļāļ§āļāļāļļāļĄāļāļāļāļĢāļ°āļĄāļēāļ āļŠāļĢāļļāļāļāļēāļāļĢāļ§āļĄāļāļķāļ āļāļąāļāļāļģāļāđāļāļāļģāļŦāļāļāļāļēāļāđāļāļāļāļīāļ āļāļēāļāļāđāļēāļāđāļĨāļ°āļāļąāļāđāļāļĢāļĩāļĒāļĄāļ§āļąāļŠāļāļļāļāļļāļāļāļĢāļāđ āļŠāļģāļŦāļĢāļąāļāđāļāļĢāļāļāļēāļĢāļāđāļēāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļ§āļēāļāđāļāļ āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļĢāļ§āļāļŠāļāļ āļāļīāļāļāļēāļĄ āļāļĢāļąāļāļāļĢāļļāļ āļāļēāļāļāļģāļĢāļļāļāļĢāļąāļāļēāđāļāļīāļāļāđāļāļāļāļąāļ (PM) āļāļāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŦāļēāļŠāļēāđāļŦāļāļļāļāļēāļāļēāļĢāđāļŠāļĩāļĒāļāļāļāļāļļāļāļāļĢāļāđ āđāļĨāļ°āļŦāļēāđāļāļ§āļāļēāļāđāļāđāđāļāļāļĢāđāļāļĄāļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āđāļŦāđāļāļģāđāļāļ°āļāļģ āļāļ§āļēāļĄāļĢāļđāđāđāļāļāļēāļĢāđāļāđāļāļļāļāļāļĢāļāđāļāđāļēāļ āđ āđāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļāđāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāļāđāļē, āđāļĒāļāļē, āđāļāļĢāļ·āđāļāļāļāļĨ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 3-5 āļāļĩ āļāđāļēāļāļāļēāļāļāđāļāļĄāļāļģāļĢāļļāļ āļāļēāļāļāđāļāļŠāļĢāđāļēāļ āļāļĢāļīāļŦāļēāļĢāļāļēāļāđāļāļĢāļāļāļēāļĢ.
- āđāļāļĢāļāđāļāļĨāļĩāđāļĒāļŠāļ°āļŠāļĄāđāļĄāđāļāđāļģāļāļ§āđāļē 2.75.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāļģāļāļēāļāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāđāļāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
PowerShell, Python, Amazon AWS, Microsoft Azure, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, operate and maintain IT system and Infrastructure on both private cloud and public cloud in accordance with FWD standards and policies.
- Work with project owner and stakeholders to support an application hosted at on-premise data centers and public cloud providers.
- Consult with project owner and stakeholders on deployment design, implementation, monitoring and optimization within cloud platforms.
- Take a hands-on role in automating infrastructure migration to cloud environments.
- Develop scripts to automate standard activities (ie. PowerShell, Python).
- Develop, document, make recommendations, and communicate plans for investing in IT cloud infrastructure, including analysis of cost reduction opportunities.
- Anticipate, mitigate, identify, respond to, and resolve problems affecting cloud systems performance, efficiency, and availability.
- Complete all vulnerability fixing are on time and align with group policy.
- Bachelor s Degree in Computer Science or IT related fields.
- Prefer Certified Microsoft, Azure, AWS or equivalent IT industry certificate.
- Minimum 3-5 years of experience in IT Infrastructure and Cloud Infrastructure.
- Excellence communication both Thai and English.
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:.
- 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 .
- 1
- 2
- 3
- 4
- 5
- 6
- 8
āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2024
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ