เงื่อนไขการค้นหา

ทักษะ:

Sales, Hadoop, ETL, English

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in software sales or account management.
• Experience promoting analytics, data warehousing, or data management software.
• Ability to communicate fluently in English and Thai to support APAC customers.
• Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
• Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
• Excellent business acumen and problem-solving skills.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Calibrate business against the objectives and results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing direction.
• Develop and execute account plans, including a broader enterprise plan across industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating solution differentiation and business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Apache, Compliance, Automation

ประเภทงาน:

งานประจำ

• Design, develop, and maintain robust and scalable data pipelines using tools such as Apache Airflow, PySpark, and cloud-native services (e.g., Azure Data Factory, Microsoft Fabric Pipelines)..
• Manage data ingestion from APIs, files, and databases into data lakes or data warehouses (e.g., Microsoft Fabric Lakehouse, Iceberg, DWS)..
• Ensure seamless data integration across on-premise, cloud, and hybrid environments..
• Implement data validation, standardization, and transformation to ensure high data quality..
• Apply data encryption, masking, and compliance controls to maintain security and privacy standards..
• AI & Intelligent AutomationCollaborate with Data Scientists to deploy ML models and integrate predictive insights into production pipelines (e.g., using Azure Machine Learning or Fabric Notebooks)..
• Support AI-powered automation and data insight generation through tools like Microsoft Co-pilot Studio or LLM-powered interfaces (chat-to-data)..
• Assist in building lightweight AI chatbots or agents that leverage existing datasets to enhance business efficiency..
• Qualifications & Skills3-5+ years of experience in Data Engineering or AI Engineering roles.
• Proficiency in Python, SQL, and big data frameworks (Apache Airflow, Spark, PySpark)..
• Experience with cloud platforms: Azure, Huawei Cloud, or AWS.
• Familiar with Microsoft Fabric services: OneLake, Lakehouse, Notebooks, Pipelines, and Real-Time Analytics..
• Hands-on with Microsoft Co-pilot Studio to design chatbots, agents, or LLM-based solutions..
• Experience in ML model deployment using Azure ML, ModelArts, or similar platforms.
• Understanding of vector databases (e.g., Qdrant), LLM orchestration (e.g., LangChain), and prompt engineering is a plus.

ประเภทงาน:

งานประจำ

• Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
• Develop data pipeline automation using Azure technologies, Databricks and Data Factory
• Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects
• Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes
• 3 years+ experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Big Data, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Research, ETL, Automation

ประเภทงาน:

งานประจำ

• Lead the design and development of data architecture, ensuring scalability, security, and alignment with business strategy.
• Oversee the collection, transformation, and integration of data from multiple internal and external sources.
• Conduct advanced research and troubleshooting to address complex business and technical problems.
• Design, build, and optimize data pipelines and ETL processes to handle large-scale and real-time data.
• Implement automation solutions to minimize manual intervention and improve data efficiency.
• Provide technical leadership and mentorship to junior engineers, ensuring best practices in coding, testing, and deployment.
• Collaborate with cross-functional stakeholders including Data Scientists, Analysts, and Business Leaders to deliver actionable insights.
• Evaluate and recommend new tools, frameworks, and technologies to enhance data engineering capabilities.
• Job SpecificationBachelor s Degree in Information Technology, Computer Science, Statistics, Mathematics, Business, or a related field (Master s Degree is a plus).
• Minimum of 5 years experience in data engineering, with at least 2 years in a senior or lead role.
• Proven expertise in the data analytics lifecycle, including business problem framing, KPI/metrics design, exploratory analysis, and presenting data insights.
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and advanced programming skills in Python, Java, PySpark.
• Solid knowledge of data processing, ETL frameworks, data warehousing, and messaging queue systems (e.g., Kafka).
• Demonstrated experience in designing highly scalable, resilient, and secure data systems.

ประเภทงาน:

งานประจำ

• We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.
• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
• Optimize data storage and retrieval processes for improved performance.
• Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security measures and access controls.
• Troubleshoot data-related issues and optimize system performance.
• Stay up-to-date with emerging technologies and industry trends in data engineering.
• Document data architectures, pipelines, and processes.
• Bachelor's degree in Computer Science, Engineering, or a related fields 2. 2-4 years of experience in data engineering or similar roles 3. Strong programming skills in Python, Java, or Scala 4. Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL) 5. Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services 6. Knowledge of data warehousing concepts and ETL best practices 7. Experience with version control systems (e.g., Git) 8. Understanding of data cleansing, data modeling and database design principles 9. Solid problem-solving skills and attention to detail 10. Good communication skills and ability to work with technical and non-technical team members.
• Experience with Azure data platform (ADF, Databrick) 2. Familiarity with data visualization tools (e.g., Tableau, Power BI) 3. Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources) 4. Experience with containerization technologies (e.g., Docker).
• Experience to deal with large data and optimization skill in development.
• Understanding of machine learning concepts and data science workflows.

ทักษะ:

Compliance, AutoCAD

ประเภทงาน:

งานประจำ

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Job QualificationsBachelor s degree in mechanical engineering or a related field is required.
• more than 5 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ทักษะ:

DevOps

ประเภทงาน:

งานประจำ

• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ประเภทงาน:

งานประจำ

• Cloud Infrastructure.
• Design, deploy, and manage cloud infrastructure (AWS, Azure).
• Administer Azure Entra ID (Azure AD), hybrid identity solutions, MFA, and conditional access policies.
• Manage AWS services such as EC2, S3, VPC, CloudFront, WAF, API Gateway (e.g., KONG), Docker, and Kubernetes.
• Migrate workloads and applications to the cloud with minimal downtime.
• Ensure seamless integration between on-premise systems and cloud platforms.
• Provide cost optimization recommendations for infrastructure.
• Monitor system availability, performance, and security using AWS monitoring tools.
• Design network diagrams and plan infrastructure growth.
• Identity & Security Management.
• Configure and manage Active Directory Federation Services (ADFS) for SSO.
• Handle SSL/TLS certificate lifecycle: issuance, deployment, renewal, and revocation.
• Manage security solutions including WAF, Reverse Proxy, and Application Gateway..
• Education: Bachelor s degree or higher in Computer Science, Information Technology, or related fields.
• Experience in 3-5 years in on-premise and cloud infrastructure, 2-3 years with AWS cloud services.
• Proficiency in VMware, Veeam Backup, ADDS/ADFS, Azure AD, and certificate management.
• Proven ability to design, evaluate, perform POC, and implement cloud solutions.
• Strong troubleshooting skills for both cloud and on-premise systems.
• Willingness to work nights/weekends as required.
• Self-motivated, with a commitment to continuous learning.
• Strong communication, presentation, problem-solving, and negotiation skills.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, Excel, English

ประเภทงาน:

งานประจำ

• Supervise contractors who perform servicing or preventive maintenance.
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements.
• Perform root cause analysis for operational issues.
• Troubleshoot facility and rack level events.
• Ensure all personnel on-site follow safety protocols.
• Work on-call and a rotating schedule as needed.
• Take daily operational readings and provide metrics reporting to senior engineers.
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS?
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship & Career Growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
• BASIC QUALIFICATIONS.
• Associates Degree or Technical Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
• Fluent in English language, both written and spoken.
• 2+ working in a Data Center or Mission Critical Environment.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
• 4+ years of Data Center Operation Experience.
• Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling.
• 2+ with Microsoft Excel, Word, and Outlook.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

ประเภทงาน:

งานประจำ

• Installing, configuring and maintaining hardware, network and operation system of the IT system, both of cloud and on-premises infrastructures.
• Installing, configuring and maintaining software application and platforms, both of cloud and on-premises infrastructures.
• Managing users, groups and operating system policies across the entire IT network.
• Diagnosing, troubleshooting and resolving application, software, hardware and networking issues.
• Monitoring system and application performance, availability, and security.
• Automate tasks like code deployment, testing, and infrastructure provisioning through scripts, tools, and CI/CD pipelines.
• Replacing and upgrading outdated or defective components.
• Enforcing security best practices to prevent cyber attacks and security breaches..
• 7-8 years of experience in system, application or production support.
• Strong experienced in UNIX, LINUX and Windows operating systems.(System Administrator role).
• Knowledge of networking fundamentals (TCP/IP, routing, network protocols, configurations, and security practices).
• Knowledge of cloud platforms (Azure, OpenShift, Kubernetes) and DevOps/DevSecOps practices.
• Good knowledge of RESTful APIs, HTTP protocol, OAuth, and JSON.
• Experience supporting Java-based APIs is an advantage.
• Familiarity with database technologies (Oracle, MS SQL Server, PostgreSQL, MongoDB, MySQL).
• Experience with monitoring and logging tools (e.g., Dynatrace, Kibana, Elasticsearch, Grafana).
• Knowledge of scripting tool and automation (Shell Script, PowerShell, ansible playbook, CI/CD pipeline).
• Knowledge of distributed event streaming platforms is a plus.
• Proven ability to perform root cause analysis and problem diagnosis in collaboration with development teams.

ทักษะ:

Compliance, Java, Javascript, English

ประเภทงาน:

งานประจำ

• Collaborate with business stakeholders to understand their vision and translate it into a viable technological roadmap.
• Design holistic solutions that integrate seamlessly with existing systems while fostering innovation and competitive advantage.
• Ensure technical solutions are scalable, secure, performant, and maintainable, adhering to the highest standards of quality and compliance.
• Navigate the complexities of banking regulations and technology governance to ensure solutions are both compliant and optimal.
• Lead cross-functional collaboration with System Analysts, Developers, and other IT professionals to ensure cohesive execution of the technology strategy.
• Provide expert knowledge on technology trends, emerging tools, and best practices to keep the business at the forefront of innovation.
• Engage in proactive communication, effectively translating complex technical concepts into clear, actionable business language.
• Bachelor s or Master s degree in Computer Science, Information Technology, Software Engineering, or a related fields.
• Can communicate in Thai and English.
• Minimum of 5 years of experience in IT architecture, software development, or system integration.
• Proven experience in designing and implementing IT solutions across cloud, on-premise, and hybrid environments.
• Ability to work in both Agile and WaterFall.
• Hands-on experience with cloud platforms i.e AWS, Azure, or Google Cloud.
• Programming languages in Java, C#, or JavaScript or related languages.
• Knowledged in microservices architecture, Docker, OCP, API design, and system integration patterns.
• Familiarity with database technologies (SQL, NoSQL) and data modeling.
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with cybersecurity principles and/or other related IT Security.
• Excellent problem-solving and analytical skills.
• Strong communication skills to collaborate with stakeholders and convey complex concepts.
• Leadership and project management abilities to drive solution design and implementation.
• AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or equivalent.
• TOGAF Certification.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ทักษะ:

Tableau, Power BI, Excel

ประเภทงาน:

งานประจำ

• Leads and improves analytical programs and presents the results.
• Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.
• Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.
• Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.
• Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.
• Lead the roll-out and development of digital solution per business needs.

ประเภทงาน:

งานประจำ

• Dashboard & Analytics Development (70%).
• Design, develop, and enhance Power BI dashboards and reports for store, DC, and supplier performance.
• Build and maintain data models, DAX measures, and ETL queries to support business requirements.
• Translate business needs into data-driven insights that support operational and strategic decisions.
• Ensure data accuracy, consistency, and compliance with established KPI definitions and governance standards.
• Conduct root cause analysis on key supply KPIs (e.g., Days of Cover, Forecast Accuracy, Shrink, OSA).
• Support automation initiatives by developing BI solutions that improve reporting efficiency and reduce manual work.
• Business Partnership & Governance (30%).
• Work closely with Central Replenishment, Commercial, and Data Engineering teams to align on reporting requirements and data sources.
• Contribute to data governance by documenting metrics, definitions, and business logic in collaboration with the BI Manager.
• Provide ad-hoc analysis and insights to support decision-making during business reviews and planning cycles.
• Support cross-functional projects such as forecast improvement, replenishment automation, and supply network optimization.
• Assist in mentoring analysts or interns on Power BI standards, performance tuning, and best practices.
• Bachelor s degree in Business Analytics, Supply Chain, Computer Science, or related field.
• 1-3 years of experience in business intelligence, data analytics, or reporting roles.
• Strong technical proficiency in Power BI, DAX, Power Query (M), and SQL.
• Experience with data modeling, ETL processes, and cloud data platforms (e.g., Azure) preferred.
• Familiarity with supply chain, replenishment, or retail analytics is a strong plus.
• Ability to communicate insights clearly and work collaboratively across technical and business teams.
• Strong problem-solving skills with attention to data accuracy and visualization quality.
• Success Factors.
• Delivers accurate and visually clear dashboards that support business decisions.
• Proactively identifies data or performance issues and drives resolution.
• Acts as a bridge between business users and technical teams, ensuring alignment in data and insights.
• Demonstrates ownership, initiative, and continuous improvement mindset in BI solution development..

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Python, Automation, English

ประเภทงาน:

งานประจำ

• Developing data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Collaborate with stakeholders to prepare, process, and validate data for business needs.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field.
• 1-3 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
• Experience in project & stakeholder management responsibilities.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented and enjoy building from the ground up.
• Fresh Graduates are welcome.

ทักษะ:

Automation, Electrical Engineering, Mechanical Engineering

ประเภทงาน:

งานประจำ

• Design and develop automation solutions for HVAC, lighting, access control, and energy management systems.
• Integrate IoT devices and sensors into building infrastructure for real-time monitoring and control.
• Collaborate with cross-functional teams including MEP engineers, IT, and facility managers.
• Develop and maintain dashboards and analytics platforms for building performance data.
• Ensure cybersecurity and data integrity of connected systems.
• Conduct site assessments and feasibility studies for automation upgrades.
• Troubleshoot and optimize existing BAS and IoT systems.
• Stay updated with emerging technologies and standards in smart building systems.
• Bachelor s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Control Engineer,Mechatronics Engineer or related field.
• Experience with protocols such as BACnet, Modbus, KNX, MQTT, or Zigbee.
• Familiarity with PLCs, SCADA systems, and BMS platforms.
• Knowledge of cloud platforms (e.g., AWS, Azure) and edge computing.
• Programming skills in Python, JavaScript, or similar languages are a plus.
• Strong problem-solving and communication skills.

ทักษะ:

Tableau, SQL, Power BI

ประเภทงาน:

งานประจำ

• Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent.
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic.
• Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations).
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers.
• Enable and support self-service analytics by building curated datasets and reusable components.
• Ensure data accuracy, consistency, and security in BI assets.
• Bachelor s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field.
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset).
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling).
• Comfortable working with large datasets and cross-functional teams.
• Strong attention to detail and a passion for turning data into actionable insights.
• Nice to Have.
• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses).
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets.
• Exposure to big data environments like Cloudera and Databricks..