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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°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Finance, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Contribute to SPP s work plan, budget inputs and sub-task management.
- Document activities and outcomes for required reporting (e.g., biweekly, monthly quarterly and annual reports) and for other initiatives to promote SPP s successes.
- Prepare above reports as assigned by Objective/Task Leads.
- Develop approaches to implement tasks, such as preparing scopes of work and coordinating short-term advisors.
- Draft and review technical project deliverables.
- Conduct research on assigned topics.
- Coordinate with other Task and Objective Leads and Country Points of Contact.
- Manage the inventory of documentation with counterparts (such as NDAs, Letter of Collaboration etc.).
- Assist in knowledge management and deliverable tracking.
- Support in organizing workshops, training programs and other such events.
- Coordination with counterparts such as private sector organizations, financial institutions and others.
- Support in developing, editing and preparing presentations.
- Assist with cross-cutting activities as appropriate (i.e. Communications, Monitoring and Evaluation, Gender and Social Inclusion).
- Provide other support as needed for SPP.
- Your role as a leader At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
- Understand how our daily work contributes to the priorities of the team and business.
- Understand the set expectations and demonstrate accountability in keeping personal performance on track.
- Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
- Demonstrate an appreciation for working with others.
- Understand what is fundamental to Deloitte s success as a business.
- Demonstrate integrity and an awareness of strengths, differences, and personal impact.
- Develop their understanding of Deloitte and offer a fresh perspective.
- Enough about us, let's talk about you If you are someone with:BA/BS degree (Master s degree preferred) in a field related to the energy sector such as engineering, environment, sciences, economics, finance and accounting.
- A minimum of 1 year of relevant experience.
- Experience in consulting/ energy preferred.
- Experience in working with USG partners and/or other donor agencies preferred.
- Ability and interest to travel and work in ASEAN countries.
- Ability to think and problem-solve creatively.
- Strong writing and communication skills.
- Experience forming and collaborating with teams.
- Strong project management and time management skills; highly organized and meticulous.
- Next Steps So what are you waiting for? Join the winning team now. Due to volume of applications, we regret that only shortlisted candidates will be notified. Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. #LI-GN Requisition ID: 106379In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
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.
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:
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:
12 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Market Analysis, Creativity, Meet Deadlines
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Developing strategic business models: helping clients determine the optimum business or commercial model to effectively deliver their objectives, e.g., in the context of product launch or competitive market disruption.
- Capability building: helping our clients configure effectively and develop their ability to deliver operational excellence in specific areas, e.g., commercial, medical affairs.
- Strategic options analysis and evaluation: working with clients to understand and sh ...
- Stimulating innovation: helping clients to identify new ways of working that will stimulate innovation and growth, and lead to better decision-making.
- Market analysis: traditional evidence-led analysis to identify market development opportunities to support client strategies.
- Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves every day to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Directors across our Firm are expected to:Lead and act as an exemplary role model for leaders at all levels, whilst continuously promoting a sense of loyalty and energizes others to act.
- Build and sustain a high performance culture by cultivating and amplifying individual and team strengths.
- Develop and sustain long-term, trust-based relationships with stakeholders, clients and team.
- Manage the sustainable development of a strong pipeline of talent for current and future success, by driving a talent experience that differentiates Deloitte.
- Lead behavioral and cultural change through a supportive, collaborative and highly inclusive environment where team members feels supported, respected and engaged.
- Enough about us, let's talk about youYou are someone with:Tertiary qualification in a business, technology or engineering discipline and/or currently enrolled in a MBA program or have obtained the qualification with a well ranked institution.
- Minimum 12 years of professional experience professional experience in a strategic consulting role in the Energy, Resources sector (in consulting firms or industry in-house strategy and transformation teams).
- Demonstrated success in client engagements with topics, such as Corporate and BU strategy, Asset Optimization, Portfolio Diversification, Sales & Distribution, Strategic Cost Reduction, Product & Pricing Optimization, Digital Operating Model, etc.
- Strong intellectual curiosity with creativity to turn bright ideas into brighter solutions and having an innate concern to know clients business and help them grow.
- Experience with budgetary responsibilities related to projects or resources.
- Exceptional interpersonal, team-building, and communication skills.
- Demonstrated ability to write clearly, succinctly, and in a manner that appeals to a wide audience.
- Proven experience effectively prioritizing workload to meet deadlines and work objectives.
- Drive, tenacity, client focused and results oriented.
- An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignment.
- Willingness to work outside of office base.
- Next Steps So what are you waiting for? Join the winning team now.
- Due to volume of applications, we regret only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 103790In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
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.
āļāļąāļāļĐāļ°:
Problem Solving, Research, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify opportunities for efficiencies in work process and innovative approaches to completing scope of work.
- Participate in team problem solving efforts and offer ideas to solve client issues.
- Conduct relevant research, data analysis, and create reports.
- Maintain responsibility for completion and accuracy of work products.
- Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
- Assist in proposal development, as requested.
- Actively expand consulting skills and professional development through training courses, mentoring, and daily interaction with clients.
- Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Managers across our Firm are expected to:Establish a strong leadership brand and inspire their team through passion, integrity, and appreciation of others.
- Make effective use of resources to optimise value.
- Demonstrate the success and efficiency of Deloitte through leveraging its network and people.
- Deliver exceptional quality results and stakeholder value by leveraging each person s strengths to build high performing teams across businesses and borders.
- Apply deep knowledge of disruptive trends and competitor activity to drive continuous improvement.
- Build deep professional relationships across a diverse network and use a flexible influencing style to gain buy-in and drive impact.
- Translate broader strategy into a compelling team vision and goals as well as align the team and sets priorities to achieve objectives.
- Contribute to building an inclusive talent pipeline by creating a talent experience that attracts, develops and retains diverse, top talent and high performing teams.
- Actively contribute to building the talent pipeline by championing a talent experience that attracts, develops and retains top talent and high performing teams.
- Enough about us, let's talk about youIf you are someone with:Tertiary qualification in a chemicals or petroleum engineering disciple with a well ranked institution and/or currently enrolled in a MBA program.
- Minimum 10 years of working experience with a leading consulting firm focusing in the Energy industry.
- Experience in leading strategy and operational transformation with these topics:Growth and Value Creation Strategies.
- Enterprise Performance Improvement.
- Digital Operations Transformation.
- Asset Management Excellence.
- Established business development track record in Southeast Asia.
- Experience with budgetary responsibilities related to projects or resources.
- Exceptional interpersonal, team-building, and communication skills, with demonstrated ability to write clearly, succinctly, and in a manner that appeals to a wide audience.
- Ability to build consensus and foster change in ambiguous settings.
- Commitment to professional excellence, as well as personal and professional growth.
- Drive, tenacity, client focused and results oriented.
- An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignment.
- Willingness to work outside of office base.
- Next Steps So what are you waiting for? Join the winning team now.
- Due to volume of applications, we regret that only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. #LI-MB Requisition ID: 106248In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Continue the study on energy efficiency project in different affiliates (TH, CN, IND).
- Study the feasibility, budget, and ROI of solutions identified.
- Implement the solution approved by the management.
- Qualification Requirements: 3rd or 4th year University Students majoring in energy management.
- Open to young fresh graduated both local & overseas.
- Strong knowledges in energy consumption.
- Good interpersonal skills.
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 .
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