เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Software Development, Windows Server, Automation, Python, Oracle, Apache, VMware, Linux, SQL, GIS

ประเภทงาน:

งานประจำ

• Act as the single point of contact (SPOC) for back-office users, handling incoming tickets via ITSM and calls through the central App Support Hotline [Ext. 7777]..
• Monitor application health, alert dashboards, and server resources; perform initial troubleshooting, and execute standard remediation according to SOPs.
• Log and document all issues in the ITSM system with high accuracy, ensuring proper categorization and routing to support >90% triage precision.
• Escalate unresolved or critical incidents (P1/P2) immediately to the Software Development Team Leader, SRE, or Server teams using the defined escalation protocols.
• Assist in testing application updates, system patches, and rollback procedures under the change management guidelines.
• Create and maintain technical runbooks, troubleshooting guides, and knowledge base articles, utilizing AI.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
• 1-3 years of experience in Application Support, IT Helpdesk, Technical Support, or Operations roles. (Highly motivated fresh graduates are also welcome to apply).
• Familiarity with ITSM ticketing tools (preferably ManageEngine or Jira Service Desk).
• Ability to work under pressure, manage multi-tasking demands, and resolve user issues with a strong customer-service mindset.
• Strong problem-solving, analytical, and logical-thinking skills.
• Good team contributor who communicates technical issues clearly and collaborates effectively with cross-functional teams.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• Basic Database & Queries: Ability to write and run basic SQL queries (MS-SQL, Postgre, or Oracle) for investigation and data extraction.
• Infrastructure Basics: Basic knowledge of Windows Server, Active Directory, Linux CentOS/RedHat, and virtualization (VMware).
• System Monitoring & Transfer: Familiarity with file transfer protocols (SFTP/FTP), GoAnywhere, Apache Airflow and system monitoring tools (metrics, logs, alerts).
• Financial Business Flow: Basic understanding of securities trading lifecycle, mutual funds, or back-office batch processing.
• Automation Basics: Basic scripting skills (Python, PowerShell, or Bash) is a strong advantage.
• Apply now ".

ทักษะ:

Analytical Thinking, Power BI, Tableau, Apache, ETL

ประเภทงาน:

งานประจำ

• ออกแบบ พัฒนา และประยุกต์ใช้โมเดล Machine Learning และโมเดลเชิงสถิติขั้นสูง (Statistical Modeling) ประเภท XGBoost, Linear Regression, Logistics Regression, Classification และ Clustering เพื่อสนับสนุนการตัดสินใจเชิงธุรกิจของธนาคาร.
• สร้างและพัฒนาโมเดลพยากรณ์พฤติกรรมลูกค้า (Churn Prediction) และโมเดลวิเคราะห์ข้อมูลอนุกรมเวลา (Time Series Forecasting) โดยใช้เทคนิค Deep Learning หรือ LSTM.
• ออกแบบ พัฒนา และบริหารจัดการโครงสร้างการเชื่อมโยงข้อมูล (Data Pipeline) รวมถึงระบบการบริหารจัดการวงจรโมเดล (MLOps).
• วิเคราะห์ข้อมูล ตั้งสมมติฐาน และแปลความหมายจากชุดข้อมูล เพื่อแปลงความต้องการทางธุรกิจให้เป็นแนวทางหรือโซลูชันทางเทคนิคเพื่อสนับสนุนการตัดสินใจเชิงธุรกิจ.
• ทำงานร่วมกับทีมงานแบบบูรณาการ (Cross-functional Team) ทั้งหน่วยงานด้าน Data และ IT เพื่อวิเคราะห์ แก้ไขปัญหาระบบข้อมูลที่มีความซับซ้อน.
• ประสบการณ์ทำงาน.
• มีประสบการณ์ตรงจากโครงงาน (Project), การฝึกงาน หรือการเข้าร่วมแข่งขันด้านวิทยาศาสตร์ข้อมูล (Data Science) ในแพลตฟอร์มมาตรฐาน เช่น Kaggle.
• มีประสบการณ์ในการใช้งานระบบควบคุมเวอร์ชัน (Version Control) เช่น Git ในการบริหารจัดการซอร์สโค้ด.
• มีประสบการณ์ตรงในกระบวนการจัดทำข้อมูล (ETL: Extract, Transform, Load รวมถึงการออกแบบ พัฒนา และดูแลระบบ Data Pipelin.
• เป็นบุคคลที่มีคุณสมบัติและไม่มีลักษณะต้องห้ามของพนักงานตามกฎหมายว่าด้วยคุณสมบัติมาตรฐานสำหรับกรรมการและพนักงานของรัฐวิสาหกิจ และระเบียบธนาคารออมสิน ว่าด้วยการแต่งตั้งและการพ้นจากตำแหน่งพนักงานธนาคารออมสิน.
• อายุไม่เกิน 30 ปี นับถึงวันปิดแจ้งความประสงค์.
• เพศชายต้องพ้นภาระทางทหาร หรือผ่านการเกณฑ์ทหาร (แบบ สด.43) หรือได้สำเร็จการฝึกวิชาทหารชั้นปีที่ 3 ขึ้นไป (แบบ สด.8) หรือตามที่ธนาคารเห็นควร.
• ต้องไม่เป็นบุคคลที่ถูกกำหนดตามมาตรา 4 แห่งพระราชบัญญัติป้องกันและปราบปรามการสนับสนุนทางการเงินแก่การก่อการร้ายและการแพร่ขยายอาวุธที่มีอานุภาพทำลายล้างสูง พ.ศ. 2559.
• สำเร็จการศึกษาตั้งแต่ระดับปริญญาตรีขึ้นไป สาขาวิศวกรรมคอมพิวเตอร์ ปัญญาประดิษฐ์ วิทยาศาสตร์ข้อมูล สถิติ หรือสาขาวิชาที่เกี่ยวข้องและเป็นประโยชน์กับธนาคาร ตามที่ธนาคารเห็นควร.
• มีความรู้ความเข้าใจในหลักการของ Machine Learning, Statistical Modeling, Deep Learning รวมถึงมีความเชี่ยวชาญในการสร้างโมเดลประเภท XGBoost, Linear Regression, Logistics Regression และเข้าใจกระบวนการประเมินประสิทธิภาพของโมเดล (Model Evaluation) เป็นอย่างดี.
• มีความเข้าใจและสามารถสร้างโมเดลประเภท Churn Prediction และการวิเคราะห์ Time Series (เช่น LSTM หรือ Deep Learning) ได้ด้วยตนเอง.
• มีความรู้ความเข้าใจในการสร้าง พัฒนาโครงสร้างระบบ Data Pipeline และ ระบบ MLOps.
• มีทักษะด้านการคิดวิเคราะห์ (Analytical Thinking) สามารถตั้งสมมติฐานและแปลความหมายจากข้อมูลเพื่อสนับสนุนการตัดสินใจเชิงธุรกิจได้.
• มีทักษะการแก้ไขปัญหาที่ซับซ้อน และความสามารถในการทำงานร่วมกับทีมงานแบบบูรณาการ (Cross-functional Team) ได้ดี.
• หากมีคุณสมบัติเพิ่มเติมดังนี้จะได้รับการพิจารณาเป็นกรณีพิเศษ.
• มีประสบการณ์ตรงจากโครงงาน (Project), การฝึกงาน หรือการเข้าร่วมแข่งขันด้านวิทยาศาสตร์ข้อมูล (Data Science) ในแพลตฟอร์มมาตรฐาน เช่น Kaggle.
• มีความคุ้นเคยและสามารถใช้งานเครื่องมือจัดทำข้อมูลภาพ (Data Visualization) เช่น Power BI, Tableau หรือ Plotly.
• มีความรู้ความเข้าใจเบื้องต้นในเทคโนโลยีการเรียนรู้เชิงลึก Deep Learning) หรือระบบประมวลผลภาษาธรรมชาติ (Natural Language Processing: NPL).
• มีประสบการณ์ในการใช้งานระบบควบคุมเวอร์ชัน (Version Control) เช่น Git ในการบริหารจัดการซอร์สโค้ด.
• มีใบรับรอง (Certificate) ที่เกี่ยวข้องกับสายงาน เช่น Google Data Analytics, IBM Data Science หรือ Coursera Machine Learning Specialization.
• มีประสบการณ์ตรงในกระบวนการจัดทำข้อมูล (ETL: Extract, Transform, Load รวมถึงการออกแบบ พัฒนา และดูแลระบบ Data Pipeline.
• มีความรู้ความเข้าในเครื่องมือบริหารจัดการขั้นตอนการประมวลผลข้อมูล (Data Orchestration Tools) เช่น Apache Airflow หรือเครื่องมือในลักษณะเดียวกัน.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

MongoDB, Python, Hadoop, Apache, MySQL, Thai

ประเภทงาน:

งานประจำ

• About LINE MAN Wongnai.
• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

ทักษะ:

Architecture, Python, Apache, Kafka, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Engineer is responsible for handling the design and construction of scalable data management system including data storage, data piping, ETL and interfacing with analytics platforms. The jobholder needs to manage all data aspects related to public cloud solution, data lake, data warehouse, reporting, etc. The job holder is also required to participate in gathering data requirements, modelling, and testing as well as define flow of data in a project from input through to storage including interfaces with analytics tools or end user software.
• Key Accountabilities.
• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor's Degree in computer science, statistics, or related technical discipline.
• 5+ years' experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, Automation, Oracle, Apache, VMware, Linux, SQL, GIS

ประเภทงาน:

งานประจำ

• Lead, mentor, and manage the Application Support squad (3 Junior engineers), ensuring high morale, optimal performance, and continuous skill development.
• Design and maintain the Shift Roster (Onshore/Offshore Day Shifts and Night Batch Specialist Shifts) with clear daily handover checklists to guarantee 24/7 coverage.
• Establish and govern clear Service Demarcation Lines and handoff points between App Support, Helpdesk, Software Development,SRE and Server teams, eliminating duplicate efforts.
• Manage the implementation and optimization of ITSM, ensuring robust processes for Incident, Problem, Change and Service Request modules.
• Partner with the Bank's IT team to implement API-level Ticket Bridging maintaining a target ticket assignment accuracy of >90%.
• Serve as the primary escalation point for application issues; cooperate with Incident Manager and Technical Teams in the "War Room" during P1/P2 incidents to rapidly restore systems and achieve SLA targets (Downtime 90%.
• Serve as the primary escalation point for application issues; cooperate with Incident Manager and Technical Teams in the "War Room" during P1/P2 incidents to rapidly restore systems and achieve SLA targets (Downtime < 4.32 mins/month).
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• System & Application Knowledge: Familiarity with core financial systems (CIS, ESS, SBL, MFET, GIS, SAXO, Front IFIS).
• Tech Stack Literacy: Good understanding of Windows/Linux servers, Active Directory, VMware virtualization, SQL databases (MSSQL, Oracle and Postgre), SFTP protocols, GoAnywhere, Apache Aitflow,.
• Core ITSM Administration: ITSM configuration, ticket routing rules, and API integrations.
• Operations & Batch Control: Knowledge of Batch scheduling, automation tools, and transaction logs processing.
• Analytical Skills: Root Cause Analysis (RCA) and Incident Trend analysis.
• Apply now ".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Microsoft Azure, Python, Apache, Kafka, SQL

ประเภทงาน:

งานประจำ

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful comfortable learning new technologies, embracing feedback, and improving how things are done.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Backbone, Python, DevOps, Apache, SQL, ETL

ประเภทงาน:

งานประจำ

• At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
• Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
• Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Build ETL/ELT workflows for both structured and unstructured data.
• Partner with data scientists and analysts to turn raw data into actionable insights.
• Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
• Lead platform monitoring, CI/CD automation, and cloud-native governance.
• Apply best practices in data security, quality, and governance.
• What Were Looking For.
• Degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in Data Engineering / Platform Engineering.
• Strong with Databricks, Apache Spark, Delta Lake.
• Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
• Experience in AWS or GCP services.
• Solid understanding of Lakehouse Architecture and Data Modeling.
• Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
• Bonus: Experience in retail tech, data privacy, and RBAC.
• Why Gosoft?.
• Impact: Be the backbone of the data powering 7-Elevens national operations.
• Innovation: Work on modern architecture and enterprise-scale platforms.
• Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
• Flexibility: Hybrid working, continuous learning, and career advancement.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• r.
• esponse.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 8+ years.
• of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• r.
• esponse.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 8+ years.
• of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, C#, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• response.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 10+ years.
• of experience with strong proficiency in.
• Java, Kotlin, Scala, or C#.
• with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand. (Relocation package is provided).
• Bengaluru.
• SaoPaulo.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Kafka, Redis, Automation, English

ประเภทงาน:

งานประจำ

• Design and review middleware architecture aligned with enterprise standards.
• Manage and govern middleware platforms (Web Server, App Server, MQ, Kafka, Redis).
• Oversee outsourcing/vendor teams and coordinate project delivery.
• Improve CI/CD deployment pipelines and automation.
• Monitor system performance, conduct root cause analysis (RCA).
• Manage lifecycle activities (capacity, patching, upgrades, EOS/EOL).
• Ensure system stability, security, and compliance with IT standards.
• QualificationsBachelor s degree in Computer Science, IT, Engineering, or related field.
• Hands-on in middleware (IBM MQ, Kafka).
• Experience with Web/App Servers (Apache, Nginx, Tomcat, JBoss, WebSphere, IIS).
• Familiar with Redis, Linux, Docker, Kubernetes.
• Exposure to monitoring tools and CI/CD.
• Middleware architecture & performance tuning.
• Analytical problem-solving.
• Good communication & English.
• Only shortlisted candidates will be contacted.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• Contact: Talent Acquisition Center: 0 2--- ---- #--183.
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

ประเภทงาน:

งานประจำ

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

ทักษะ:

Cloud Computing

ประเภทงาน:

งานประจำ

• Senior.
• Solution Architect, Technical Team Leader.
• Acting as the key of Cloud.
• technical aspect for the consulting team to provide the technical.
• consulting to both internal and external customers.
• Design Cloud solution.
• architecture in response to the client.
• s requirement.
• Provide advisory consulting.
• service to the client regarding the True IDC Consulting practices.
• Create Cloud technical.
• s migration plan.
• Bachelor's or Master's Degree in Computer Engineering, Computer.
• Sciences, Information System, or related IT fields.
• Experience of designing and implementing comprehensive Cloud.
• computing solutions on various Cloud technologies e.g. VMWare Cloud, AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture.
• (SOA) applications.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as.
• its architecture to the Cloud.
• Knowledge of OS administrative for both Windows and UNIX.
• technologies.
• Knowledge of key concerns and how they are addressed in Cloud.
• Computing such as security, performance and scalability.
• Experience with RDBMS designing and implementing over the Cloud.
• Prior experience with application development on the various.
• development solutions such as Java,.Net, Python etc.
• Experience in,.Net and/or Spring Framework and RESTful web.
• services.
• Plus.
• UNIX shell scripting.
• AWS Certified Solution.
• Architect.
• Associate.
• VMWare Certified Associate.
• VCA Cloud.
• AIA Capital Center, Ratchadapisek,.
• Bangkok.
• MRT.
• Thailand Cultural Centre.