เงื่อนไขการค้นหา

ทักษะ:

SQL, Oracle, Data Warehousing

ประเภทงาน:

งานประจำ

• 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:.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Scala, Java, Golang

ประเภทงาน:

งานประจำ

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems.
• Build, administer and scale data processing pipelines.
• Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc.
• Improve scalability, stability, accuracy, speed and efficiency of our existing data systems.
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
• What You'll need to Succeed.
• Bachelor's degree in Computer Science /Information Systems/Engineering/related field.
• 8+ years of experience in software and data engineering.
• Good experience in Apache Spark.
• Expert level understanding of JVM and either Java or Scala.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles preferred.
• Any other experience with Big Data technologies / tools.
• SQL experience.
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux.
• It's great if you have.
• Good understanding of Hadoop ecosystems.
• Experience working with Open-source products.
• Python/Shell scripting skills.
• Working in an agile environment using test driven methodologies.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• 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).
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Microsoft Azure, SQL, UNIX, Python, Hadoop

ประเภทงาน:

งานประจำ

• 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 Qualit ...
• 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:

Big Data, Java, Python

ประเภทงาน:

งานประจำ

• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.
• Educational.
• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.

ทักษะ:

Automation, Product Owner, Python

ประเภทงาน:

งานประจำ

• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.
• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Mechanical Engineering, Electrical Engineering, English

ประเภทงาน:

งานประจำ

• Provide day to day installation, maintenance, and repair of all facilities in the data center.
• 24x7 shift work responsibility when qualified and designated.
• Provide requested reporting and documentation.
• Support of facility, development, and construction teams.
• Perform tasks as assigned by DC operation manager.
• Respond to customer requests, power, cooling, and facility audits.
• First tier investigate any power, communication, or cooling anomalies.
• Attend assigned meetings and training.
• Assist in ensuring customer compliance with GSA Acceptance Usage Policy (AUP).
• Provide technical escort when needed.
• Job Qualifications.
• Must be familiar with safety requirements and OSHA regulations or Thailand safety regulations.
• Basic understanding of electrical and mechanical systems that may be employed in a data center environment. This may include electrical feeders, transformers, generators, switchgear, UPS systems, DC power systems, ATS/STS units, PDU units, air handling units, cooling towers, and fire suppression systems.
• Familiar with Interpret wiring diagrams, schematics, and electrical drawings.
• Ability to express ideas clearly, concisely, and effectively with contractors performing maintenance or upgrades on systems installed in the data center environment.
• Excellent verbal, written, and interpersonal communication skills.
• Ability to analyze and make suggestions for problem resolution.
• Solve problems with good initiative and sound judgment.
• Creativity, problem solving skills, negotiation and systematic thinking.
• Fluent in English both written and verbal (Minimum 500 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Electrical Engineering, Mechanical Engineering, English

ประเภทงาน:

งานประจำ

• Serve as the main contact for network investigations.
• Monitor GSA internal networks and data hall environments.
• Interpret and address connectivity alerts.
• Lead incident management events and create event tickets.
• Perform configuration tasks and adhere to security policies.
• Research and summarize events, providing reports.
• Coordinate with carriers to resolve customer issues.
• Provide input for network management optimization.
• Troubleshoot and escalate issues as needed.
• Deliver timely and accurate end-to-end support.
• Document actions and provide peer coaching/training.
• Job Qualifications.
• Bachelor's degree in information technology, computer science or related field.
• Flexible schedule availability, including nights, weekends, and shift rotations.
• Strong focus on customer service solutions.
• Understanding of various network topologies.
• Excellent communication skills via direct contact, phone, email, and documentation/tracking incidents.
• Knowledge of OSI Model and troubleshooting techniques.
• Familiarity with industry cabling standards and datacenter infrastructure.
• Proficiency in interacting with computing systems.
• Ability to navigate and utilize ticketing systems effectively.
• Comfortable working in a fast-paced environment with professionalism and flexibility.
• Punctual, reliable, and able to manage deadlines effectively.
• Strong organizational skills.
• Familiar with Computer literate with an emphasis on Microsoft Office Suite.
• Experience with equipment terminal access applications (Ex.: CRT, Putty, SSH).
• Experience with network monitoring software applications.
• We welcome recent graduates and those starting out in their careers to apply for this engineer-level position.
• Leader position is reserved for candidates with direct experience only.
• Creativity, problem solving skills, negotiation and systematic thinking.
• Fluent in English both written and verbal (Minimum 500 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Mechanical Drawing, Electrical Engineering, English

ประเภทงาน:

งานประจำ

• On duty and take responsibility when absence DC operation manager.
• Quality assurance of Technician work performed along with associated documentation.
• Maintenance of supply and tool inventory used by MEP system.
• Management and reporting of Technician hours worked.
• Ensure compliance of policies and procedures by Technicians.
• Mentoring and leadership on data center floor for technicians.
• Support of construction, research, and development activity.
• Good understanding of electrical and mechanical systems that may be employed in a data center environment. This may include electrical feeders, transformers, generators, switchgear, UPS systems, DC power systems, ATS/STS units, PDU units, air handling units, cooling towers, and fire suppression systems.
• Must be familiar with safety requirements and OSHA regulations governing a multi-megawatt facility.
• Interpret wiring diagrams, schematics, and electrical drawings.
• Job Qualifications.
• Familiar with Microsoft Suite, BMS, EPMS, CPMS and CMMS.
• Travel may be requested by GSA.
• The data center is a 24 hour/7 day operation.
• Excellent verbal, written, and interpersonal communication skills.
• Ability to express ideas clearly, concisely and effectively with contractors installing, performing maintenance or upgrade work on systems installed in the data center environment.
• Ability to analyze and make suggestions for problem resolution.
• Solve problems with good initiative and sound judgment.
• Make decisions independently with minimal guidance.
• Creativity, problem solving skills, negotiation and systematic thinking.
• Fluent in English both written and verbal (Minimum 500 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Accounting, Finance, SAP, Oracle, ERP, English

ประเภทงาน:

งานประจำ

• Lead and manage transformation / automation projects under Finance & Accounting.
• Lead transformation / automation team members.
• Work as the Finance representative in a cross functional team e.g. among finance & accounting, IT, operation, commercial etc.
• Bring in new innovation to automate F&A.
• Apply lean process improvement & technology system/ tool e.g. ERP, macro, RPA, etc to drive efficiency, accuracy and control.
• Analyze area of improvement / initiative prioritization.
• Develop RPA or other automation tools e.g. BI, Macro, ACL etc.
• Work with Data team if any related initiatives.
• Support testing and go live and issue resolution of the processes and relevant systems.
• Support the development of change communication, and other change management initiatives.
• Bachelor s or Master degree in Accounting, Finance, Engineering, Business Administration, IT or related fields.
• Minimum 7 years working experience. Business consultancy/PM / RPA experience will be an advantage.
• Experience in in Retail business is a plus.
• Strong analytical & problem solving skills.
• Proven track record of working cross functionally to deliver large scale change projects.
• Well-organized and pro-active with great attention to details and adaptable to the fast-pace of retail business dynamics.
• Must have good interpersonal skills and be able to work on tight deadlines.
• Good command of both spoken and written Thai and English required.
• Understanding of Accounting system such as Oracle, SAP, etc.
• Able to do coding for Macro/ RPA/ BI/ACL.
• 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:

Product Owner, Finance, Procurement, English

ประเภทงาน:

งานประจำ

• Understand business needs in all changes/new initiative to drive to IT strategy and roadmaps into action for Finance area.
• Fully understand retail and finance business processes from Record to Report, Order to Cash and Procurement to Pay area and other Finance area.
• Identify problem/challenge and recommend right solution/workaround solution.
• Own IT project portfolio and demand backlog to plan out timeline/resource. Also drive improvement business case with benefit realization & cost required.
• Be able to act as IT Project manager to manage scope, timeline and resource with optimum solution.
• Fully work with IT product owner and other IT team to drive solution and innovate idea to the firm.
• Manage Internal / External Audit requirement changes for accounting area by work with IT product owner.
• Support the Lead Growing the technology team both business/technical knowledge.
• Bachelor's Degree in Computer Science or Engineering or Accounting IT.
• 5 years+ experience in IT consulting/operation/support with accounting software or any ERP systems (SAP, Oracle, Microsoft etc.).
• Call handling experience in project management and development lift cycle experience.
• Good Microsoft Office skills (Excel, Word, PPT).
• Excellent English skill.
• Project management and communication skills.
• Excellent communication skill, presentation skill, documentation, logical thinking and strong analytical skill.
• Ability to prioritize and execute in high-pressured environment.
• Strong ability to analyze user requirements, make recommendations and implement solution .
• Strong problem solver with ability to lead the team to push the solution and progress.
• Challenger mindset and passion to challenge status quo to find new solutions and drive out of the box ideas - loves and embraces change.
• 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:

Sales, VMware, Cloud Computing

ประเภทงาน:

งานประจำ

• At least 3-5 years experience in Cloud/IT Product manager or Channel manager.
• Cloud business marketing or product experience.
• Cloud Presales/ Cloud Solution Sales.
• Collaborate with the sales team to identify and qualify new customer opportunities in the cloud space.
• Conduct in-depth consultations with potential customers to understand their business goals, current IT environment, and cloud migration plans.
• Leverage your cloud expertise to architect and propose secure solutions that effectively address customer needs, considering medium to large enterprise customer requirements.
• Demonstrate a strong understanding of cloud fundamentals and best practices for at least one of the following cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP) or other public cloud.
• Comprehensive understanding of cloud concepts including AWS, Azure, GCP, VMWare, and Local Cloud solutions.
• Apply your knowledge of Landing Zone design principles to create robust and secure cloud environments.
• Navigate the complexities of cloud deployment models (IaaS, PaaS, SaaS) and service models (Public, Private, Hybrid) to recommend the optimal solution for each customer.
• Develop strategic cloud project plans that outline the migration process and highlight the long-term benefits for customers.
• Craft compelling investment plans that quantify the ROI and cost savings associated with cloud adoption.
• Deliver impactful presentations that showcase your cloud knowledge and effectively communicate the value proposition of our cloud solutions.
• Participate in proof-of-concept (POC) development and execution.
• Stay up-to-date on the latest cloud trends and technologies to ensure you offer the most relevant solutions to our customers.
• Minimum of 5 years of experience in a technical field, with a focus on Security or Cloud computing.
• Strong understanding of cloud fundamentals and best practices for one of the major cloud platforms (AWS, Azure, GCP).
• Proven experience in architecting cloud solutions for medium to large enterprise customers.
• Ability to analyze customer environments and recommend secure cloud solutions that align with their specific business needs.
• In-depth understanding of general security practices for cloud computing.
• Solid grasp of cloud concepts: AWS, Azure, GCP, VMWare, Local Cloud.
• Working knowledge of Landing Zone design principles.
• Proficiency in cloud deployment models (IaaS, PaaS, SaaS) and service models (Public, Private, Hybrid).
• Excellent presentation and communication skills, with the ability to tailor your message to different audiences.
• Experience in developing strategic plans and investment proposals for cloud projects is a plus.
• A Cloud Certification (AWS, Azure, or Google Cloud Platform) is a strong advantage.
• Cloud Service Support/ Dispatcher / Cloud Technical Support.
• You own, investigate and solve complex customer technical issues and act as a advisor to the customer, collaborating within and across teams and leveraging troubleshooting tools and practices.
• You lead in building communities with peer delivery roles and share your knowledge through readiness programs, technical coaching and mentoring of others.
• You deepen your technical and professional proficiency to enable you to resolve complex customer issues, through training and readiness.
• You engage with Oracle Engineering/ Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools driving AIS product improvements.
• Multiple years of technical support, technical consulting experience, or information technology experience OR Bachelor's Degree in Computer Science, Information Technology (IT), or related field.
• 3+ years technical support, technical consulting experience, or information technology experience.
• Strong experience with cloud, administration, understanding of the Networking OSI model and related concepts.
• Cloud Implementation (Azure Cloud engineer).
• Manage Monitoring and Troubleshooting AWS environments which includes working with services like EC2, ELB, RDS, and S3.
• Manage Monitoring and Troubleshooting AWS's applications native services and serverless architecture (Lambda) on AWS platform.
• Manage Monitoring and Troubleshooting AWS network and security features (VPC, Security Groups, NACLs, ALB/NLB, Transit Gateway, etc.).
• Manage Monitoring and Troubleshooting Identity and Access Management (IAM), SSO Integration.
• Manage Monitoring and Troubleshooting AWS SQL (SQL VM, Manage instance, PAAS).
• Utilize automation tools such as Infrastructure as Code (IaC), including CloudFormation and/or terraform.
• Manage Monitoring and Troubleshooting high availability solutioning (multi-AZ / regions, Backup, Snapshotting, archiving).
• Experience 2-5 Years Microsoft Cloud (Microsoft Azure or AWS).
• Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3.
• Experience with monitoring systems such as CloudWatch and other industry standard visibility platforms (Data Dog, Dynatrace, New Relic, etc.).
• Experience with Logging and log monitoring (CloudWatch and CloudTrail) both for performance, security, and compliance efforts.
• Proficiency with Infrastructure as Code (IaC), including CloudFormation and/or Terraform.
• Understanding of CI/CD on AWS platform.
• Expert knowledge of AWS network and security features (VPC, Security Groups, NACLs, ALB/NLB, Transit Gateway, etc.).
• Experience building applications with native services and serverless architecture (Lambda) on AWS platform.
• Strong understanding of Identity and Access Management (IAM), SSO Integration.
• Strong understanding of high availability solutioning (multi-AZ / regions, Backup, Snapshotting, archiving).
• Network Security (Cloud).
• Reponsibilities.
• Design, implement, manage high available, high performance, scalable, secure, network and security infrastructure for public cloud services across multiple availability zones and regions with following characteristics:Support integration with Cloud Management Platform such as OpenStack and Google Cloud Airgap.
• Support integration with Software-defined network and virtualization platform such as Linux KVM.
• Support multi cloud environment and hybrid cloud environment such as customer on premise data center and Hyper scaler clouds.
• Work with hyper scaler providers to implement network connection between cloud environments.
• Manage network information registrations such as IP network address, AS number, domain name, etc.
• Implement authentication, authorization and accounting system for network and security devices.
• Troubleshoot network and security incidents.
• Relevant network certifications such as CCNA, CCNP, CCIE.
• Relevant Information Security certification such as CISSP.
• Strong understanding of networking concepts, protocols (TCP/IP, OSI model), and technologies (LAN, WAN, VPN).
• Proficiency in network hardware and software, including routers, switches, firewalls, and network operating systems.
• Experience with network monitoring and troubleshooting tools.
• Cloud Solution Review and Risk Management Specialist (Bidding Review Team).
• Facilitate and drive solution review sessionStudy and Evaluate technical requirement including TOR.
• Compare and Validate between Presale s solution and Customer requirement.
• Ensure the delivery plan with the identified timeline.
• Clarified the owner of after-sale process both Insource and Outsource.
• Consult to clarify the Project s risks with Risk Mitigation to have Risk Register Cost.
• Ensure corporate governance guideline are adhered.
• Prepare summarized report with approval on Solution Review Result and handover to EFRM.
• Note:Non-Telecom team is responsible for Cloud both Public (MS, AWS, Google, HW, Oracle) & Private, ICT (Server, IT Infra, CCTV, Wi-Fi, etc.), Security and SW development Product.
• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in enterprise solution delivery, including network infrastructure, cloud solutions, and data center technologies.
• Proven track record in bid evaluation, contract negotiation, and vendor management.
• Strong understanding of risk management principles and methodologies.
• Experience in working with diverse technical teams and stakeholders.
• Proficiency in network protocols (TCP/IP, routing, switching) and network security concepts.
• Knowledge of cloud technologies (AWS, Azure, GCP) and virtualization.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Scala, Java, Golang

ประเภทงาน:

งานประจำ

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems.
• Build, administer and scale data processing pipelines.
• Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc.
• Improve scalability, stability, accuracy, speed and efficiency of our existing data systems.
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
• What You'll need to Succeed.
• Bachelor's degree in Computer Science /Information Systems/Engineering/related field.
• 5+ years of experience in software and data engineering.
• Good experience in Apache Spark.
• Expert level understanding of JVM and either Java or Scala.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles preferred.
• Any other experience with Big Data technologies / tools.
• SQL experience.
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux.
• It's great if you have.
• Good understanding of Hadoop ecosystems.
• Experience working with Open-source products.
• Python/Shell scripting skills.
• Working in an agile environment using test driven methodologies.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Data Analysis, Creative Presentation, English

ประเภทงาน:

งานประจำ

• Develop in depth understanding of current and future banking business strategy.
• Analyze current and long-term issues such as transitioning to net-zero, AI and automation, and ESG, to identify key opportunities and risks to Krungthai, our corporate, SME and retail clients.
• Forecast macroeconomic and financial variables as well as industry growth trends.
• Write top quality articles and deliver presentations to disseminate research to top management, clients, and the public.
• Graduate degree in economics, business, engineering or related fields.
• We prefer a candidate with at least 2 years of work experience in economic policy research, consulting, or other relevant work experience, although we also welcome fresh graduate.
• Experienced in using econometrics and/or data analytics tools.
• Outstanding analytical and inter-personal skills.
• Strong writing and presentation skills (Thai and English).
• Able to take initiatives, lead projects and own assignments end-to-end.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

Project Management, English

ประเภทงาน:

งานประจำ

• Bachelor's degree in Business Administration, Management, Engineering, Supply Chain or a related field. Master's degree is a plus.
• Proven experience (typically 5+ years) in business process management, process improvement, or related roles.
• Fluent English.
• Strong analytical and problem-solving skills with a data-driven approach to decision-making.
• Excellent project management skills with the ability to lead cross-functional teams effectively.
• Strong communication and interpersonal skills to collaborate with diverse stakeholders.
• Knowledge of process improvement methodologies such as Lean, Six Sigma, or BPMN (Business Process Model and Notation).
• Familiarity with process modeling and workflow software tools.
• Ability to adapt to a dynamic and fast-paced work environment.
• Knowledge of customer experience management approaches and methodologies a plus.

ทักษะ:

Risk Management, English

ประเภทงาน:

งานประจำ

• Plan and support internal audit strategies in Cyber Security part (Cyber Security is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks).
• Lead a Cyber Security Audit team to ensure output through implementation of work standards and report to top management.
• Identify potential Cyber Security Risk and convince others in the organization to accept complete proposals and recommendation.
• Master s degree in Computer Engineering, Computer Science, Information Technology.
• Experience At least 7 years such as Information Security Management, Information Risk Management, IT Audit Management, ICT Security, Cloud Security, or in a related field.
• Professional certificates of CISA (Certified Information Systems Auditor), CISSP (Certified Information Systems Security Professional), CISM (Certified Information Security Manager) are advantage.
• Background in technical knowledge of Cyber Security Audit.
• Good command in English.

ทักษะ:

Industry trends, Statistics, Python

ประเภทงาน:

งานประจำ

• Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
• Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
• Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra s competitive edge.
• Analytics Execution.
• Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
• Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
• Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
• Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
• Business Partnership.
• Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
• Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
• Performance Monitoring and Optimization.
• Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
• Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
• Communication and Presentation.
• Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
• Collaborate across departments to implement data-driven initiatives that align with CPaxtra s goals and drive tangible outcomes.
• Education and Experience.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
• Technical Skills.
• Advanced proficiency in Python, R, SQL, and machine learning frameworks.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• Leadership and Business Acumen.
• Proven ability to lead high-performing teams in a dynamic, fast-paced environment.
• Exceptional strategic thinking and problem-solving skills with a demonstrated focus on delivering business value.
• Deep understanding of retail operations, including inventory management, customer journey mapping, and merchandising strategies.
• 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:

Finance, Financial Analysis

ประเภทงาน:

งานประจำ

• This vacancy is to support new business expansion.
• Active Finance Business Partner (FP&A) in developing property investment strategy and execution: Mixed use project.
• Engage with senior management to understand the wider market trend and external factors which affect the investment.
• Lead and present financial feasibility and valuation of medium to large scale property projects to maximize return on investment.
• Be able to challenge key stakeholders for associated capex and opex investment in details.
• Perform post investment appraisal and provide insights and recommendation for improvement.
• Own the business planning cycle (budget, forecast, long term plan), understand key business drivers, risk and opportunities.
• Lead the continuous improvement of financial process and reporting and be able to leverage relevant technology and tool at work.
• Coach team and drive team effectiveness.
• Bachelor's degree or higher in business administration, finance, engineering, real estate.
• At least 5 years financial evaluation experience in mid to large scale property development.
• 7 year + finance experience in the real estate company/ mixed use project.
• Experience working with senior business stakeholders.
• Feasibility study and financial analysis skills.
• Real Estate Business acumen.
• Stakeholder management and Influencing skills.
• Strategic thinking and financial analysis skills.
• Good communication and presentation skill.
• Effective team management.
• 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:

Procurement

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

PHP, Database Development, SQL, Python, English

ประเภทงาน:

งานประจำ

• Develop functionality for integration of forecast and observation information from local and international agencies to RIMES data warehouse.
• Implementing automated data integration functionality to streamline processes for data integrated platforms.
• Managing databases and data warehouses, ensuring data integrity, security, and availability.
• Supporting the development and design of both back-end and front-end systems to meet project objectives.
• Assist in the development of the technical design framework and specifications (e.g., function, system architecture, data flow, etc.).
• B. Web Portal and Interface Development.
• Design/development/customization the data visualization platform with user-friendly web portals/websites.
• Creating dashboards and visual interfaces for the DSS, enhancing usability and accessibility.
• Creating and maintaining efficient script for web portals, websites, dashboards, and visual interfaces.
• Planning, design, development, testing, and validation of new systems, solutions, and processes to meet user needs and requirements effectively and efficiently.
• Analyses of users need to identify critical points where sectoral platform could be used effectively.
• Lead the development of system mock-ups and its iterations based on the design framework and specification, and users feedback.
• C. IT Infrastructure and Support.
• Ensuring seamless integration of IT systems with web applications and DSS.
• Providing technical support and troubleshooting to resolve any project-related IT issues.
• Implementing and managing security measures and backup solutions to protect project data.
• D. Other tasks.
• Conducting regular system reviews and maintaining optimal functionality and relevance.
• Scoping up the needs, requirements and recommending the implementation to enhance system performance and user experience.
• Participate in project planning and capacity-building activities.
• Perform other duties as may be required by the Project.
• Bachelor s degree in Information technology, Software Engineering, Computer Science or any related field.
• At least three (3) years of work experience in programming using Python, PHP, and the backend framework of Python or PHP.
• Or at least three (3) years of work experience in JavaScript, or modern JavaScript frameworks (e.g., React, Angular, Vue.js).
• Or at least three (3) years of combined work experience in systems design and database management.
• At least two (2) years of work experience in designing and implementing APIs and integrating systems using web services (e.g., REST, SOAP), including API documentation.
• Involvement in at least two (2) web and/or mobile app development projects in the last five years would be an advantage.
• Familiarity with the institutions/organizations as well as approaches and concepts in disaster risk reduction and management (DRRM), early warning, and/or climate change adaptation (CCA) would be an advantage.
• Excellent understanding of system development methodologies and lifecycle.
• Expert in relational databases and SQL.
• Proficient with software testing principles and methodologies.
• Excellent critical thinking, problem-solving, and planning skills.
• Strong communication, interpersonal, and writing skills.
• Ability to work amicably in a multicultural and multidisciplinary work environment.
• Excellent knowledge of English (both oral and written).
• Self-motivated, flexible, and able to work effectively and independently.
• Excellent work ethic and aptitude to work with a constructive attitude.
• Conscientious and efficient in meeting commitments, observing deadlines, and achieving results.
• Shows persistence when faced with difficulties or challenge.
• Interested candidates should send your application letter, resume, salary expectation and 2 references in PDF format to [email protected] by midnight of 8 January 2024, Bangkok time. Please state Full Stack Developer-HQ: Your Name the Subject line of the email. Only short-listed applicants will be contacted..
• Ms. Dusadee Padungkul.
• Head-Operational Support.
• Regional Integrated Multi-Hazard Early Warning System.
• AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1,.
• Klong Luang, Pathumthani 12120 Thailand..
• RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.