เงื่อนไขการค้นหา

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure the data is correct and is in a highly usable state by the time and good performance.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Bachelor s Degree or higher in Computer Science, Information Technology, Computer Engineering, or related field.
• Minimum 3 years of work experience in Data engineer.
• Strong SQL Command and knowledge on Non-SQL tools and languages.
• Experience in ETL tools & Data Model such as SSIS, SSAS.
• Experience working on Big Data platform is advantage.
• Experience in cloud platform such as AWS, GCP.
• Ability to develop Python, R is advantage.
• Good business understanding, able to identify business problems, formulate business goals, and find relevant data.
• ประสบการณ์ที่จำเป็น.
• 3 ปี.
• ระดับตำแหน่งงาน.
• ระดับหัวหน้างาน.
• เงินเดือน.
• สามารถต่อรองได้.
• สายงาน.
• ไอที / เขียนโปรแกรม.
• วิศวกรรม.
• ประเภทงาน.
• งานประจำ.
• เกี่ยวกับบริษัทจำนวนพนักงาน:500-1000 คน.
• ประเภทบริษัท:อุตสาหกรรมสินค้าอุปโภคบริโภค.
• ที่ตั้งบริษัท:กรุงเทพ.
• เว็บไซต์:www.osotspa.com.
• ก่อตั้งเมื่อปี:1891.
• คะแนน:4.5/5.
• เราจะเป็นบริษัทอุปโภค-บริโภคชั้นนำของประเทศไทยที่สอดคล้องกับไลฟ์สไตล์ของผู้บริโภค และเป็นที่ยอมรับอย่างกว้างขวางในภูมิภาคอาเซียน มากกว่าหนึ่งศตวรรษกับความสำเร็จที่น่าภาคภูมิใจของโอสถสภา เรายังคงมุ่งมั่นวิจัยและคิดค้นพัฒนาผลิตภัณฑ์เพื่อตอบสนองความต้องการ ของคนไทย เพื่อให้คนไทยมีคุณภาพชีวิตที่ดีขึ้น เราพัฒนาศักยภาพเพื่อสร้างความเชื่อมั่นและคุณภาพชีวิตให้กับผู้บริโภคชาวไทยอย่างไม่หยุดยั้ง โอสถสภา ในวันนี้ เราพูดได้อย่างภูมิใจว่า เรามีการดำเนินธุรกิจอย่างครบวงจร นับแต่การวิจัยถึงความต้องการของผู้บริโภค สู่การคิดค้นและพัฒนานวัตกรรมใหม่ๆ สู่กระบวนการผลิต การทำตลาดการกระจายสินค้าและ การจัดกิจกรรมส่งเสริมการตลาดและการขายอย่างต่อเนื่อง เพื่อให้มั่นใจว่า สินค้าของโอสถสภาเข้าเป็นส่วนหนึ่งของวิถีชีวิต และไลฟ์สไตล์ของผู้บริโภคอย่างแท้จริง.
• ร่วมงานกับเรา: ปัจจุบัน โอสถสภามีอายุมากกว่า 123 ปี เรายังคงมุ่งมั่นพัฒนาผลิตภัณฑ์ที่มีคุณภาพต่อไปอย่างไม่หยุดยั้ง ภาใต้ปรัชญาข้อปฏิบัติที่ยึดมั่น "เห็นแก่ประโยชน์ของผู้อื่นมากกว่าตนเอง คิดถึงน้ำใจของคนอื่นมากกว่าเงินตรา มีความสัตย์ซื่อในการประกอบอาชีพ รักษาไว้ซึ่งจรรยาบรรณของธุรกิจ".
• เขตที่ตั้งที่ทำงาน: บางกะปิ.
• สำนักงานใหญ่: 348, Ramkhamhaeng Road.

ทักษะ:

ETL, Python, Java

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ทักษะ:

ETL, Data Analysis, Industry trends

ประเภทงาน:

งานประจำ

• Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
• Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
• Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
• Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• Requirements/Qualifications(must have):.
• Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
• Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
• Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
• Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
• Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.

ทักษะ:

Excel

ประเภทงาน:

งานประจำ

• Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
• Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
• Collaborating with sales teams to identify market trends and opportunities for product promotion.
• Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
• Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
• Building and maintaining strong relationships with key trade partners and distributors.
• Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
• Analyzing and recommending brands/channel combinations to maximize sell-out and profitability..
• Bachelor's degree in marketing, business administration, or a related field.
• Previous experience in trade marketing or sales, preferably in the consumer goods industry.
• Strong analytical skills and ability to interpret market data and trends.
• Proficiency in Microsoft Excel.

ทักษะ:

Big Data, ETL, SQL

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:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• 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.
• Master degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI 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. .

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:

Big Data, Data Warehousing, ETL

ประเภทงาน:

งานประจำ

• Design end-to-end big data architectures and solutions on cloud platforms (e.g., Azure, GCP) to meet business requirements and scalability needs.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data-related needs and translate them into technical solutions.
• Provide expert guidance and consultation to clients on best practices in cloud data architecture, data integration, data warehousing, and data governance.
• Lead the planning, design, and implementation of data pipelines, ETL processes, and data lakes, ensuring optimal data quality, security, and performance.
• Evaluate and select appropriate technologies, tools, and frameworks to optimize data processing and analysis in a cloud environment.
• Conduct performance tuning and optimization of big data solutions to ensure high-speed data processing and real-time analytics.
• Stay up-to-date with industry trends, emerging technologies, and best practices in cloud computing and big data to continuously enhance the organization's data architecture capabilities.
• Mentor and guide junior team members, fostering skill development and knowledge sharing within the team.
• Collaborate with sales and business development teams to assist in pre-sales activities, such as solution architecture design, proposal development, and client presentations.
• Provide thought leadership through presentations, workshops, and industry conferences.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 5 years of experience in designing and implementing big data solutions with a focus on cloud data architecture.
• Proven experience with cloud platforms such as Azure, or GCP, including services like Azure Data Lake, Big Query etc.
• Strong proficiency in programming languages such as Python, Java, Scala, or similar languages for data processing and manipulation.

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.

ทักษะ:

ETL, Java, Python

ประเภทงาน:

งานประจำ

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Create data products for analytics and data scientist team members to improve their productivity.
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• RequirementsPrevious experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Hands-on experience with SQL database design using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies.
• Great numerical and analytical skill.
• Worked with BI tools such as Tableau, Power BI.
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
• Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
• 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
• 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
• To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
• Review PUE, cost saving energy and report.
• Measured Efficiency air system and record annual report.
• Responsible for implementation of Mechanical such as comfort air, precision air.
• Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
• Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
• Bachelor degree of Engineering, Mechanical engineering or related field.
• At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
• At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
• Able to Air - Diagram and Psychrometric chart knowledge.
• Able to work as a team and work in and standby on call on holiday.
• Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
• Proficiency in English communication is beneficial.
• Work Location: TrueIDC - Bangna Site (KM26).

ทักษะ:

Risk Management, Software Testing, Quality Assurance, English

ประเภทงาน:

งานประจำ

• Write and execute both manual and automated test plans.
• Participate in the review and definition of software requirements.
• Challenge requirements and specifications.
• Clearly documenting issues and how to reproduce them. File and update issues in issue tracker.
• Understand risk management and define regression test scope.
• A degree in computer/technology related discipline or equivalent work experience.
• Excellent ability to understand software requirements and specifications.
• Be able to test both functional and technical requirements.
• Be thorough and dedicated to quality.
• Self-driven with ability to work in a structured and meticulous way without guidance.
• Strong analytical skills.
• Strong knowledge about best practice software testing methodology and tools.
• Be able to identify opportunities for innovation to improve quality.
• Strong knowledge about Android and iOS mobile platforms is an advantage.
• Experience in programming is an advantage.
• Near fluent English, both oral and written.
• New graduate or Junior QA are welcome.
• เงินเดือน.
• 60,000 - 80,000 THB, สามารถต่อรองได้.

ทักษะ:

TypeScript, Golang, node.js

ประเภทงาน:

งานประจำ

• Collaborate with Project Managers, Product Owners, and UX/UI Designers to deliver intuitive, responsive web and mobile applications.
• Develop and maintain front-end applications using HTML, CSS, JavaScript, and modern frameworks such as React, Next.js, TypeScript, and Others.
• Develop and maintain back-end applications using Golang, Node.js, Nest.js, and other back-end technologies.
• Develop and maintain mobile applications using native languages (Kotlin, Java, Objective-C, Swift) and/or cross-platform frameworks (React Native, Flutter).
• Ensure the implementation of best practices for software quality (e.g., code reviews, QA processes) and security standards across all projects.
• Implement and optimize performance improvements, including caching, message brokers, and other techniques to ensure application efficiency.
• Review and approve code, ensuring best practices, high standards of quality, and security.
• Utilize project management and task tracking tools to manage tasks, track progress, and ensure deadlines are met.
• Drive continuous improvement of development practices within the team.
• 5+ years of experience in full-stack development, with expertise in both frontend and backend technologies.
• Strong in languages for front-end i.e. HTML, CSS, JavaScript, and modern frameworks like React, Next.js, and TypeScript.
• Proficient in backend technologies such as Golang, Node.js, and Nest.js.
• Experience in mobile development with native (Kotlin, Java, Objective-C, Swift) and cross-platform (React Native, Flutter) frameworks.
• Skilled in databases like PostgreSQL, MongoDB, and MySQL.
• Proficient in software quality practices including automated/manual testing and code reviews.
• Experienced in project management tools for task and team performance tracking.
• Knowledgeable in security best practices, encryption, and data protection.
• Proven leadership in guiding and mentoring engineering teams.
• Strong collaboration with cross-functional teams (Project Managers, Product Owners, UX/UI).
• Familiar with software performance optimization and DevOps, cloud platforms, and CI/CD.
• Knowledge of blockchain, web3, and smart contracts is a plus.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Compliance

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

ทักษะ:

DevOps, Software Development, Quality Assurance, English

ประเภทงาน:

งานประจำ

• 5+ years of solid development, 3+ years of DevOps.
• Cloud Solutions (AWS and/or Azure).
• Good command of English, both written and spoken.
• Work closely with Engineering managers, Cloud Solutions Architects, Software Development and Quality Assurance teams to implement efficient tests, build and deploy CI/CD pipelines for our cloud based projects.
• Efficiently create, manage and delete project environments as needed from time to time by the stakeholders, including for one-off and ad-hoc necessities.
• Ownership and responsibility over internal and managed systems and associated processes, including instances and pools, code quality and security testing integrations.
• Continuously seek out innovative ways to speed up and automate all aspects of testing, building and releasing software project versions and updates through our infrastructure.
• Implement metrics to objectively assess the status of DevOps systems and processes.
• Set up and manage monitoring systems and policies for our client-deployed projects.
• Understand cloud hosting costs and help generate solutions for their optimizatio.
• The successful candidate will be naturally inquisitive and genuinely interested in modern Cloud and DevOps technologies, with the ability and keenness to develop and deliver innovative DevOps solutions, effecting visible improvements for our stakeholders and clients.
• The successful candidate will be driven and proactive, willing to take responsibility and independently identify problems and develop solutions with little managerial oversight.
• BS/MS degree in Computer Science, Engineering or a related subject.
• Good command of English, both written and spoken.
• Skills and Experience
• Platform Engineering (DevOps).
• Automation.
• Infrastructure as Code (IaC).
• Continuous Improvement.
• Continuous Integration and Continuous Deployment (CI/CD).
• 5+ years of solid development experience, ideally with 3+ years of DevOps experience.
• Hands-on experience with CI/CD tools and technologies like Azure DevOps services, AWS CodeBuild and CodeDeploy, Jenkins or similar, with demonstrable experience automating and scripting build and deployment pipelines.
• Familiarity with GitHub or BitBucket, Jira, Agile and Scrum methodologies.
• Good understanding of Git, the Code Review process and development workflows.
• Good knowledge of Cloud Solutions (AWS and/or Azure), in particular EC2 ASG and/or VMSS, EKS and/or AKS, security, networking, managed databases and monitoring solutions.
• Ability to independently set up and work with local (laptop) environments using cloud and containerization tools, like Docker, Kubernetes, Helm, AWS CLI, Azure CLI, and others.
• Familiarity with IDEs such as Visual Studio, Visual Studio Code, Eclipse, or others.
• Demonstrable experience working with multiple integrated platforms and technologies, for example microservices, middleware solutions, managed and own services, APIs.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid working policy.
• Health insurance.
• Life insurance.
• Provident fund.
• Learning support.
• Free Lunch every Tuesday & Thursday.
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station.
• International work environment with over 25 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Help with the international relocation, VISA and work permit process from start to finish.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• ทักษะที่จำเป็น
• DevOps.
• Software Development.
• English (Good).
• ระดับการศึกษา
• สาขาวิทยาการคอมพิวเตอร์.
• สาขาวิศวกรรมคอมพิวเตอร์.
• ประสบการณ์ที่จำเป็น
• 3 ปี.
• ระดับตำแหน่งงาน
• ระดับหัวหน้างาน.
• ทักษะเพิ่มเติม
• Automation.
• Continuous Integration.
• Jenkins.
• Quality Assurance.
• สายงาน
• ไอที / เขียนโปรแกรม.
• ประเภทงาน
• งานประจำ.
• เงินเดือน
• สามารถต่อรองได้.

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.

ประเภทงาน:

งานประจำ

• Performing analyses on hardware, software, and network capabilities.
• Consulting with management and other departments as required.
• Analyzing and improving the performance of on-premise application, and on-cloud application (Azure Cloud).
• Knowledge about CI/CD pipeline flow/process (Github Enterprise Preferred).
• Resolving logged errors, as well as ensuring system security and encryption.
• Ensuring that computer hardware remains compatible with software updates.
• Implementing the latest technological advancements and solutions.
• Documenting processes and monitoring system performance metrics.
• Performing diagnostic tests and troubleshooting.
• Training end-users on hardware functionality and software programs..
• A bachelor's degree in science, computer science, information technology, information systems, computer engineering, or similar.
• Extensive experience as a technical consultant in a related industry.
• Advanced knowledge of hardware and software solutions and network maintenance.
• Ability to develop and maintain internal error logs and provide support.
• Proficiency in providing efficient web-portal and cloud support.
• Ability to ensure optimal system functionality by monitoring performance metrics.
• Advanced knowledge of data protection and software encryption.
• Ability to keep up with IT trends and innovation.
• Exceptional interpersonal and communication skills.

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

AutoCAD, Visio, English

ประเภทงาน:

งานประจำ

• Responsible for planning preventive maintenance schedules for the electrical system.
• Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
• 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
• 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
• To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
• Review PUE, cost saving energy and report.
• Measured Efficiency air system and record annual report.
• Responsible for implementing Electrical such as MU, TR, MDB, GEN, UPS, RECT, BATT, ATS.
• Bachelor degree of Engineering, Electrical engineering or related field.
• More than 5 years of experience in maintenance of electrical systems such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS: implement and support electrical systems in buildings or Data Centers.
• At least 1 years experience in designing electrical systems (such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS). implement, and support for electrical systems in building.
• Able to use the program AutoCAD, Visio.
• Able to work as a team and work in and standby on call on holiday.
• Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
• Proficiency in English communication is beneficial for both reading and writing.
• Work Location: TrueIDC - Bangna Site (KM26).