เงื่อนไขการค้นหา

ทักษะ:

Mechanical Engineering

ประเภทงาน:

ฝึกงาน

• DayOne is a global leader in the development and operation of high-performance data centers. As one of the fastest-growing companies in the industry, we've built a robust presence across Asia and Europe and we're just getting started.
• As we expand into new international markets, we're looking for talented, driven individuals to join us on this exciting journey. This is more than a job it's an opportunity to be a key contributor to our dynamic team and help shape the future of global data infrastructure.
• If you're passionate about innovation, technology, and growth, we invite you to be part of DayOne's next chapter.
• Critical Systems Support.
• Assist in the monitoring and basic operation of Mechanical, Electrical, and Plumbing (MEP) systems within the data center.
• Support routine checks of mechanical, electrical, fire protection, and security systems to ensure normal operation.
• Learn and follow established safety policies, procedures, and best practices under supervision.
• Operations & Team Support.
• Support shift teams with daily operational activities and handover documentation.
• Observe 24/7 operations and assist with coordination tasks as assigned.
• Help with simple planning and tracking activities related to resources and workflows.
• Maintenance & Engineering Exposure.
• Assist in preventive and corrective maintenance activities under the guidance of engineers and technicians.
• Support coordination with vendors and contractors during maintenance or minor upgrade works.
• Help collect maintenance data, log issues, and track work orders.
• Learn basic troubleshooting techniques and assist in issue resolution under supervision.
• Safety & Compliance.
• Support compliance with building codes, environmental, health & safety requirements.
• Assist in maintaining documentation, permits, and records for audits and inspections.
• Participate in safety briefings, drills, and training sessions.
• Technical & Analytical Support.
• Assist in evaluating facility systems and operational performance.
• Help gather, organize, and analyse operational data and reports.
• Support continuous improvement initiatives by identifying inefficiencies or improvement opportunities.
• Learning & Development.
• Gain hands-on exposure to data center critical infrastructure and facilities management.
• Learn industry best practices, standards, and operational procedures.
• Support the Mechanical Engineering Manager and Critical Services Manager on assigned projects and initiatives.
• Candidate Requirements.
• Currently pursuing or recently completed a.
• Bachelor's degree in Mechanical, Electrical, Building Services Engineering., or a related field.
• Strong interest in data center operations, facilities, or critical engineering systems.
• Basic understanding of engineering principles (MEP preferred).
• Good analytical, troubleshooting, and problem-solving mindset.
• Good verbal and written communication skills.
• Willingness to learn, take instructions, and work in a team-based environment.
• DayOne is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
• If you're ready to grow with one of the fastest-moving companies in the data center industry, apply now and be part of our global journey.

ทักษะ:

Social media, Power BI

ประเภทงาน:

ฝึกงาน

• Operation.
• จัดทำรายงานสรุปข้อมูลบน Social Media เป็นรายวัน รายสัปดาห์ หรือรายเดือน.
• เฝ้าระวัง และแจ้งเตือนสถานการณ์บน Social Media ของแบรนด์.
• การเฝ้าติดตามสถานการณ์ หรือวิกฤตต่าง ๆ ของแบรนด์อย่างใกล้ชิดผ่าน Social Listening Tools.
• Management.
• ประสานงาน และบริหารจัดการโปรเจค ที่ได้รับมอบหมาย.
• ทำงานร่วมกับพาร์ทเนอร์.
• วางแผนรูปแบบการทำงาน.
• สอนงาน ตรวจสอบ และควบคุมคุณภาพรายงาน.
• มีความรู้พื้นฐานในการใช้งานโปรแกรม.
• Microsoft Excel (Pivot).
• Microsoft PowerPoint.
• Power BI.
• Google Suits.
• ภาษาอังกฤษขั้นพื้นฐาน สามารถอ่าน เขียน และตรวจรายงานได้.
• มีทักษะการวิเคราะห์ แก้ปัญหา และการตัดสินใจได้ดี.
• มีทักษะในการบริหารจัดการเวลาได้ดี.
• มีทักษะการสื่อสารได้ดี สามารถทำงานเป็นทีมได้ และมีความยืดหยุ่นในการทำงาน.
• สามารถทำงานเป็นกะได้ วันหยุดอาจไม่ตรงกับวันเสาร์-อาทิตย์ (วันหยุดอยู่ที่การลงตารางงาน).
• กะเช้า 7:00-16.00 น. ].
• กะเย็น 15.00-24.00 น. ].
• ศึกษาอยู่ในชั้นปีที่ 4.
• สามารถทำงานเป็นกะได้ วันหยุดอาจไม่ตรงกับวันเสาร์-อาทิตย์.
• มีทักษะในการบริหารจัดการเวลาได้ดี.
• มีทักษะการวิเคราะห์ แก้ปัญหา และการตัดสินใจได้ดี.
• มีทักษะการออกแบบ หรือสามารถใช้เครื่องมือ Data Visualization.
• มีทักษะเขียนสรุปประเด็นได้ดี.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Instrument

ประเภทงาน:

งานประจำ

Control BMS/PMS, electrical, control, and instrumentation system installation per standards. Review technical documents and manage interface coordination. Monitor installation quality and progress for instrumentation and control panels. Verify quality documentation (IR, ITR, test reports) and coordinate QA/QC. Support pre-commissioning, testing, and commissioning activities. Analyze and resolve technical issues; provide improvement recommendations. Location: Data Center, Chachoengsao (housing provided). Schedule: Monday-Saturday, 8:00 AM-5:00 PM. Requirements: Vocational or bachelo ...

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Problem Solving, Automation, Leadership Skill, Teamwork

ประเภทงาน:

งานประจำ

Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working toget ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Leadership Skill, Big Data, Python, English

ประเภทงาน:

งานประจำ

• Architect and optimize high-throughput data pipelines and unstructured data processing frameworks to directly power the enterprise AI Foundation Platform.
• Co-own the vector infrastructure alongside the AI Engineer Specialist, ensuring optimized embedding storage, indexing strategies, and fast vector search retrieval.
• Build automated ETL/ELT pipelines capable of transforming raw enterprise data into AI-ready formats (chunking, metadata tagging, and cleaning).
• Data Governance, Metadata & Cataloging.
• Implement metadata pipelines for comprehensive data catalog and data dictionary services, including schema capture, lineage tracking, and audit logging.
• Enforce data governance, access controls, and privacy compliance across all data stores used for training, fine-tuning, and RAG retrieval.
• Design and maintain operational data lineage to ensure transparency and auditability of data flowing into production AI models.
• Advanced AI Component Integration.
• Develop and tune robust data ingestion pipelines for OCR, NLP processing, recommendation systems, and multi-modal AI inputs.
• Optimize data tiering and caching strategies to reduce latency and infrastructure costs for live enterprise AI workloads.
• Build secure, scalable data connectors linking legacy enterprise databases with modern LLM frameworks and autonomous agents.
• Collaboration & Data Excellence.
• Partner directly with the AI Engineer Specialist to ensure seamless data delivery for real-world, high-concurrency production deployments.
• Bridge traditional data engineering practices with modern MLOps, setting up automated data validation, quality checking, and drift detection at the data layer.
• Provide data-level expertise during architecture reviews, ensuring scalable data design patterns across the entire AI project lifecycle.
• Key Impacts.
• Ensure high-quality, AI-ready data ingestion at scale, dramatically reducing the time-to-market for enterprise AI assets.
• Establish a secure and compliant data foundation that guarantees enterprise data privacy during AI model interactions.
• Eliminate data bottlenecks in real-world production environments, ensuring sub-second latency for enterprise RAG and search systems.
• Transition traditional data warehouses and lakes into future-ready, graph- and vector-enabled AI data infrastructure.
• Master's or Bachelor's degree in Computer Engineering, Computer Science, Data Engineering, or a related technical field.
• 5+ years of experience in heavy-duty Data Engineering, Big Data, or Distributed Systems, with strong production experience in an AI/ML context.
• Proven track record of building large-scale data infrastructure supporting live, mission-critical applications.
• Technical & AI Data Framework Expertise.
• Deep experience in Python and SQL, alongside modern big data tools (e.g., Spark, Kafka, or cloud equivalents).
• Hands-on expertise in Vector Databases and unstructured data processing.
• Strong understanding of data chunking strategies, text extraction (OCR/NLP pipelines), and metadata orchestration.
• Familiarity with cloud data platforms (AWS/Azure/GCP) including managed data lakes, data warehouses, and cloud-native security/encryption.
• Real-world experience implementing data catalogs, schema evolution, and automated data quality monitoring.
• Leadership & Soft Skills.
• Excellent technical communication skills to align data pipeline designs with AI model engineering requirements.
• Strong analytical and problem-solving mindset, comfortable handling noisy, unstructured enterprise data under tight deadlines.
• Good verbal and written English communication skills for vendor engagement and cross-functional team collaboration.

ทักษะ:

Big Data, SQL

ประเภทงาน:

งานประจำ

Welcome! Work Independently or in team to provide big data infrastructure to solve big data requirement in mid-to-large organization. Develop end-to-end data analytics processes including, integrate, transform, analyze and visualization. By using our big data software. Handle structured (SQL), ensuring proper storage and retrieval of Big data. Work closely with Data Analysts, and Software Engineers to ensure smooth data operations and provide the necessary infrastructure for data-driven decision-making. Growth with Tech leader company. Apply here!.

ทักษะ:

Agile Development, Recruitment, YouTube, Python, Kafka, Scala, Java, SQL

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.
• In Agoda's Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it's building new projects like Flights and Packages or reimagining our existing business, you'll make a big impact as part of the Back End Engineering team.
• The Opportunity.
• We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.
• This role combines.
• leading the development of AI-powered data querying.
• enabling users to ask business questions in natural language and receive actionable insights .
• while shaping the evolution of our data quality tools, and analytical engines.
• such as StarRocks.
• As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.
• This position is based in Bangkok, Thailand. (Relocation support is provided).
• Lead the development of.
• AI-powered data querying solutions., enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools.
• and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges.
• across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and.
• drive the technical vision and roadmap.
• for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards.
• across data quality & governance tools, query engines, and the broader data platform.
• 10+ years.
• of experience in software engineering, data engineering, or related fields.
• SQL and large-scale data systems.
• Modern analytical databases / data warehouses.
• (e.g., StarRocks, Snowflake, BigQuery, ClickHouse).
• Backend development.
• (e.g., Python, Java, Scala or similar).
• AI/LLM-based applications.
• (e.g., text-to-SQL, conversational interfaces, cursor, copilots).
• Data platforms or.
• analytical infrastructure at scale.
• Strong understanding of.
• data modeling, query execution, and performance optimization.
• Proven ability to.
• lead cross-team, high-impact technical initiatives.
• Ability to navigate between.
• deep hands-on work and strategic technical leadership.
• Excellent communication skills with both technical and non-technical stakeholders.
• Experience with.
• text-to-SQL systems.
• or AI-driven data interfaces.
• Experience implementing or scaling.
• analytical engines.
• such as StarRocks.
• Background in.
• data observability, quality, or governance frameworks.
• Experience with tools like.
• dbt, Airflow, Spark, or similar.
• 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:

Architecture, Automation, Big Data, Python, Docker, Kafka, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Pipeline & Architecture.
• ออกแบบและสร้างท่อส่งข้อมูล (ETL/ELT Pipelines) ทั้งแบบ Batch และ Real-time.
• เชื่อมต่อข้อมูลจากแหล่งต่าง ๆ เช่น Database, REST APIs, และ Message Queues.
• ออกแบบและวางรากฐานโครงสร้างข้อมูล (Data Schema) เพื่อรองรับการทำ Data Analytics เชิงลึก พร้อมทั้งวางแผนและบริหารจัดการการพัฒนาเครื่องมือภายใน (Internal Tools).
• ตรวจสอบและแก้ไขปัญหา Query ที่ทำงานช้า (Slow Query).
• ออกแบบ Index และโครงสร้างข้อมูลเพื่อเพิ่มประสิทธิภาพการดึงข้อมูล.
• Data Quality & Monitoring.
• ตรวจสอบความถูกต้อง (Data Validation) และความสะอาดของข้อมูลก่อนนำเข้าสู่ระบบ.
• สร้างระบบ Monitoring และ Alerting เมื่อระบบ Pipeline เกิดข้อผิดพลาด รวมถึงพบความผิดปกติของ Data.
• DataOps & Automation.
• ใช้ GitLab CI/CD ในการทำ Automated Testing และ Deploy ระบบ Pipeline.
• จัดการ Containerization ด้วย Docker เพื่อให้ระบบทำงานได้เสถียรในทุก Environment.
• Collaboration & Documentation.
• ทำงานร่วมกับ Data Analyst และทีม Developer เพื่อเปลี่ยนความต้องการทางธุรกิจให้เป็น Technical Solution.
• จัดทำเอกสาร Data Dictionary และ Data Lineage เพื่อความโปร่งใสของที่มาข้อมูล.
• ทักษะทางเทคนิค (Technical Skills).
• Languages: Advanced SQL (Window Functions, CTEs), และ Python (Pandas, PySpark).
• Concepts: เข้าใจหลักการ Data Warehouse, Data Lake, และ Big Data สถาปัตยกรรมต่าง ๆ.
• Cloud: มีประสบการณ์ใช้งาน Cloud Data Warehouse และ Cloud Storage (AWS, Azure, หรือ GCP).
• Version Control: ใช้งาน Git (GitLab, GitHub) ได้คล่องแคล่ว (Branching, Merge Request).
• Data Structures & Algorithms: เข้าใจพื้นฐานในระดับที่สามารถออกแบบโค้ดที่มีประสิทธิภาพ.
• ทักษะเพิ่มเติม (จะพิจารณาเป็นพิเศษ).
• Streaming: มีความเข้าใจระบบ Message Broker เช่น Kafka หรือ RabbitMQ.
• Orchestration: เคยใช้งานเครื่องมือจัดการลำดับงาน เช่น Airflow หรือ Prefect.
• Tools: มีประสบการณ์การใช้ dbt (Data Build Tool) ในการจัดการ SQL Models.
• ผู้ถือสัญชาติไทยเท่านั้น.
• วุฒิการศึกษาระดับปริญญาตรีในสาขา Computer Engineering, IT หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 1-3 ปี (หากเป็นเด็กจบใหม่ ต้องมี Portfolio หรือโปรเจกต์ที่เกี่ยวข้องอย่างชัดเจน).
• มีทักษะการคิดเชิงตรรกะ (Logical Thinking) และความสามารถในการสื่อสารเรื่องเทคนิคให้คนทั่วไปเข้าใจได้ง่าย.
• มีทักษะด้านการสื่อสารและการประสานงานที่มีประสิทธิภาพ.
• มี Growth Mindset.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• แชร์.
• Facebook.
• Line.
• LinkedIn.
• X (Formerly Twitter).
• Whatsapp.
• Email.

ทักษะ:

Compliance, Civil Engineering, Electrical Engineering

ประเภทงาน:

งานประจำ

• Lead and manage all on-site construction activities for data center projects from start to completion.
• Site Supervision & Project Execution: Manage on-site engineering operations, ensuring all activities align with project plans, technical specifications, and timelines..
• Construction Quality & Safety Compliance: Ensure all construction activities comply with local and international engineering standards, regulations, and safety protocols..
• Coordination & Communication: Work closely with project team, contractors, consultants, and key stakeholders to ensure smooth project execution..
• Technical Review & Problem-Solving: Analyze engineering designs, reports, and specifications to identify and resolve technical issues efficiently..
• Progress Monitoring & Reporting: Track project milestones, prepare site reports, and provide updates to senior management and stakeholders..
• Material & Resource Management: Tracking, foreseeing, and addressing the availability of materials and key equipment to ensure smooth project execution..
• Stakeholder Liaison: Maintain effective communication with local authorities, subcontractors, and project teams to facilitate seamless operations..
• Job Qualifications.
• Bachelor's degree in Civil Engineering, Electrical Engineering, or related field or a related field.
• Minimum 3-10 years of experience in large-scale infrastructure or construction projects (experience in data center projects is a plus but not required)..
• Strong technical knowledge of power systems, cooling solutions, and network architecture.
• Strong leadership, problem-solving, and cross-cultural communication skills..

ทักษะ:

ETL, SQL, Python

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Data Warehousing, Architecture, Assurance, English

ประเภทงาน:

งานประจำ

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, Cloud Computing

ประเภทงาน:

งานประจำ

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 5 years of Electrical experience (electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective eq ...
• Ability to work non-standard hours and work rotations/shifts.
• 5 years of experience in maintenance of electrical distribution systems or construction/technical environment or a related field.
• Experience in data centers, hospitals, or power plants.
• Knowledge of electrical systems used in a data center environment (e.g., Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units).
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
• Ability to communicate with contractors who perform maintenance or upgrade work on the data center systems.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).
• As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.
• The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Inspect, maintain, and repair various data center systems.
• Provide daily assistance to technicians, read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.
• Manage the uptime and maintenance of UPS, generators, electrical distribution, and control and monitoring systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new electrical equipment and systems into facilities infrastructure.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Flowaccount, SQL, Amazon AWS

ประเภทงาน:

งานประจำ

• Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
• Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
• Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
• Consume and reason about domain events (e.g. JournalEntryCreated-style events) not just batch table dumps.
• Participate in on-call rotation for pipeline/data incidents.
• Mid (3-5 years).
• Implement pipelines and dbt models to a given design spec.
• Maintain and extend existing Redshift schemas.
• Handle defined CDC jobs and respond to data-quality alerts.
• Senior (6+ years) in addition to the above.
• Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
• Define data contracts with backend/DDD service owners event schema versioning, breaking-change policy, deprecation process.
• Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
• Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
• New-Data Intake (how this role interacts with Analytics Engineering).
• Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
• Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation coordinate with the owning backend team if instrumentation is needed.
• Build/extend the ingestion pipeline and warehouse schema to land the new data.
• Hand off to Analytics Engineering once the data is queryable.
• You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
• Strong SQL (Redshift or another columnar/MPP warehouse).
• Python or Spark for pipeline/transformation work.
• Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
• Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
• Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
• (Senior) Track record owning data-model design and cross-team data contracts.
• Preferred.
• Experience with CDC tools (DMS, Debezium).
• Experience handling PII/financial data under a compliance regime (PDPA or equivalent) including tenant/row-level isolation in a multi-tenant warehouse.
• Prior experience in a DDD/microservices backend environment.
• What We Offer.
• Build products used by tens of thousands of businesses.
• Ship code that reaches customers quickly.
• High ownership with minimal bureaucracy.
• Learn from experienced engineers and product leaders.
• Flexible work hours and 45 days/year work from anywhere.
• Competitive compensation, health & accident insurance from day one.
• 17-19 public holidays, 12 personal leave days, and 8 annual leave days.
• A friendly, collaborative team that genuinely enjoys building together.
• Clear opportunities to grow your career as the company scales.
• BKK BangRak Office (MRT Samyan or BTS Saladaeng).
• Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.

ทักษะ:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

ประเภทงาน:

งานประจำ

About Agoda 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 sa ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Mechanical Engineering, Thai

ประเภทงาน:

งานประจำ

• We believe that leaving a mark is a true challenge and opportunity for every one of us.
• We believe that leaving a mark is a sign of trust and impact.
• We believe that leaving a mark is a bond with the future.
• We believe that leaving a mark is proof of growth and development.
• Being part of the BV family, is more than just working, it's being convinced that you will leave your mark. in shaping a world of Trust.
• Join an inclusive, flexible and diverse company where you can thrive while contributing to positively transforming the world, we live in.
• Project: Hyperscale Data Center.
• Location: Bangkok, Thailand.
• Contract Duration: 20 months.
• We are seeking a qualified and proactive Mechanical Engineer to support the design review, construction supervision, and commissioning of mechanical systems for a large-scale hyperscale data center project in Thailand.
• The Mechanical Engineer will be responsible for ensuring that all mechanical systems, particularly cooling and HVAC systems critical to data center operations, are delivered in accordance with project specifications, quality standards, and performance requirements. The role will work closely with the Project Manager, discipline engineers, and contractors to ensure seamless coordination and technical excellence.
• Review and validate mechanical system designs, drawings, and specifications (HVAC, chilled water systems, piping, ventilation, etc.).
• Monitor and supervise mechanical works on-site, ensuring compliance with approved designs and construction standards.
• Review and comment on contractor submittals, including shop drawings, material submissions, and method statements.
• Ensure compliance with project specifications, international standards, and local regulatory requirements.
• Conduct regular site inspections to verify quality of installation, workmanship, and progress.
• Coordinate closely with electrical, CSA, and ELV teams to ensure proper system integration.
• Support and oversee testing and commissioning activities, including pre-functional and functional testing.
• Identify and manage non-conformance reports (NCRs) and ensure corrective actions are properly implemented.
• Monitor project progress against schedule and highlight risks, delays, and technical challenges.
• Participate in technical and coordination meetings, providing input on mechanical systems and interfaces.
• Assist in snagging, de-snagging, and final inspections prior to project handover.
• Maintain accurate technical documentation, reports, and records in line with project requirements.
• Ensure compliance with HSE standards and promote safe working practices on site.
• Minimum 5 years of experience in mechanical engineering within construction or MEP projects.
• Proven experience in large-scale projects, preferably data centers, mission-critical facilities, or industrial developments.
• Strong expertise in data center cooling systems (e.g., chillers, CRAH/CRAC, cooling towers, chilled water distribution).
• Good understanding of HVAC design, installation practices, and system integration.
• Experience in site supervision, QA/QC processes, and contractor coordination.
• Familiarity with testing and commissioning processes for mechanical systems.
• Experience working in fast-track, high-specification projects with strict quality standards.
• Knowledge of local Thai regulations and codes is an advantage.
• Our people are ambitious and humble, believing in what they do and convinced that our purpose is shaping a world of trust. With responsibility and openness, they daily serve our 400.000 clients in 140 countries, to bettering society. Across all our businesses and countries, each one of our people leaves their mark in shaping society.
• We believe that leaving a mark is a true challenge and opportunity for every one of us.
• We believe that leaving a mark is a sign of trust and impact.
• We believe that leaving a mark is a bond with the future.
• We believe that leaving a mark is proof of growth and development.
• Being part of the BV family, is more than just working, it's being convinced that you will leave your mark. in shaping a world of Trust.
• Join an inclusive, flexible and diverse company where you can thrive while contributing to positively transforming the world, we live in.

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:

Problem Solving, Enthusiastic, Teamwork, SQL, English

ประเภทงาน:

งานประจำ

• We're committed to bringing passion and customer focus to the business.*.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!*.
• Lumentum is seeking a Senior Data Engineer to join our Data Science and Data Engineering team. In this role, you will design, build, and optimize scalable data platforms, pipelines, and analytics solutions that enable data-driven decision-making across the enterprise. You will work closely with business leaders, data scientists, analy ...
• This is an opportunity to play a key role in advancing Lumentum's enterprise analytics capabilities by developing modern data architectures, improving data quality and accessibility, and enabling AI and advanced analytics initiatives. You will collaborate across functions including Sales, Operations, Manufacturing, Supply Chain, and Finance to deliver impactful solutions in a fast-paced and innovative environment.
• Design, develop, and maintain scalable data pipelines, data products, and enterprise data models that support analytics, reporting, machine learning, and AI initiatives across Lumentum.
• Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL, and cloud-native technologies to enable high-performance analytics and trusted business insights.
• Develop and maintain curated semantic layers, business metrics, and governed datasets that power self-service analytics and conversational AI solutions such as Databricks Genie and other natural language query platforms.
• Partner with business stakeholders across Sales, Operations, Manufacturing, Supply Chain, Finance, and HR to translate business requirements into scalable data solutions and reusable data assets.
• Enable business users to interact with enterprise data through natural language interfaces by designing data models, metadata frameworks, business glossaries, and governance standards that improve AI-generated insights and query accuracy.
• Collaborate with Data Scientists, Analytics Engineers, and BI developers to support advanced analytics, predictive modeling, and AI-driven decision-making.
• Establish data quality, lineage, observability, and governance frameworks to ensure trusted, secure, and compliant enterprise data assets.
• Design and implement enterprise-wide KPI frameworks and metric definitions to create a single source of truth across functional domains.
• Optimize data performance, reliability, and scalability while reducing technical debt and improving platform efficiency.
• Support the development of AI-enabled analytics capabilities, including retrieval-augmented generation (RAG), vector search, knowledge repositories, and semantic search solutions that enhance data discovery and business productivity.
• Drive adoption of modern data engineering best practices including CI/CD, Infrastructure as Code, automated testing, and data lifecycle management.
• Partner with leadership and analytics teams to advance Lumentum's vision of a centralized, AI-enabled analytics organization.
• Degree in Computer Engineering, Computer Science, IT, or related fields.
• 10+years of hands-on experience as a Data Engineer or similar role.
• Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, SQL, and cloud-native technologies.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to support production environments.
• Good communication, problem solving skills, and teamwork mindset.
• Excellent English proficiency (reporting to foreign national).
• We are an equal opportunity employer and value diversity at our company. *.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. *.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. *.
• Please contact us to request accommodation.*.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Architecture, Recruitment, Big Data, YouTube, Hadoop, Linux, Scala, Java, SQL

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.
• The Engineering department oversees all Agoda's ML and software related requirements. Our goal is to enable and increase Agoda's business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
• Why Agoda Engineering Team?.
• Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
• Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes.
• Able to analyze data to help us make better decisions.
• Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks.
• We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace.
• Bachelor's degree in computer science/information systems/engineering/related field.
• 6+ years of experience in software engineering with at least 4+ years in data/ml engineering.
• Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality.
• Expert in SQL, Python3, and JVM based programming language - ie, Java or Scala.
• Expert in software design/design patterns/best practices, functional programming and object-oriented programming.
• Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
• Familiar with general Machine Learning concepts and common models - ie, regularization, Tree Models, etc.
• Familiar with statistical analysis concepts - ie, p-value, z-score, etc.
• Analytical problem-solving capabilities & experience.
• A strong data-driven engineering driven mindset will be required to succeed in this role.
• Good understanding of Hadoop ecosystems and Big Data architecture and technologies.
• Experience with Scala/Scala Spark development.
• Working in an agile environment using test driven methodologies.
• Systems administration skills in Linux.
• Hybrid Working Model.
• WFH Set Up Allowance.
• 30 Days of Remote Working from anywhere globally every year.
• Employee discount for accommodation globally.
• Global team of 90+ nationalities.
• 40+ offices and 25+ countries.
• Annual CSR / Volunteer Time off.
• Benevity Subscription for employee donations.
• Volunteering opportunities globally.
• Free Headspace subscription.
• Free Odilo & Udemy subscriptions.
• Access to Employee Assistance Program (third party for personal and workplace support).
• Enhanced Parental Leave.
• Life, TPD & Accident Insurance.
• telaviv.
• 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:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, DevOps, Python, English

ประเภทงาน:

งานประจำ

• A successful candidate will be working with our cloud-based Big Data Platform to digest marketplace data either structured or unstructured from different marketplaces in order to facilitate data utilization. The candidate will have to design and implement a strategic way to utilize all the data extracted from several marketplaces.
• The candidate will be also working closely with other application teams and product managers in order to align with other teams and business roadmap.
• Participate in designing and implementing as well as maintaining data pipelines for ...
• Demonstrate continuous improvement by inspecting and adopting new ideas for improving solutions, tools and processes.
• Work closely with members of IT (e.g. Architecture, DevOps and Business Analysts) to ensure the highest quality softwareCoach fellow associate data engineers.
• Capabilities.
• Bachelor Degree from Computer Engineering, Computer Science or related fields.
• Good knowledge of SQL, relational database design and efficient methods for working with large size of data.
• Good knowledge of Python.
• Understanding of fundamental design principles behind data-oriented application.
• Ability to understand business requirements and be able to express them in computer language.
• Ability to communicate in English, both written and oral form.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Python, Docker, DevOps, Kafka, Java, ETL, English, Thai

ประเภทงาน:

งานประจำ

• We are Thailand's leading provider of On-Demand Services (ODS), Merchant Digital Solutions(MDS), and Payment and Financial Services (PFS). 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. 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 a passionate.
• Data Platform Engineer.
• with a strong software engineering skill to design and manage the development of scalable and reliable data platforms. You will help expand our data platform and enable our product engineering teams and data scientists to enrich the product experience. You'll be working in a fast-paced environment, intensive data users, tackling challenges that impact millions of people on our journey to becoming the No.1 delivery platform in Thailand.
• Define, i.
• mplement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
• Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
• Develop data models and architecture for end-to-end data pipelines both streaming and batch.
• Optimize and scale our data platform product across multiple teams in LMWN.
• Enable and support data engineers to optimize and improve ETL process by providing monitoring and tracking system.
• Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
• Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
• Bachelor's degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
• 1+ years of software engineering experience.
• Strong programming skills (Python and/or Java preferred).
• Strong software engineering skills such as Data Structure and Algorithm and System Design.
• Experience with distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, HDFS, Presto, Druid/Imply.
• Experience with data infrastructure components including Kubernetes and Docker.
• Experience with DevOps practices, CI/CD, monitoring, system logging,and SRE mindset.
• Proficient in English and Thai language skills.
• Based in or close to Thailand, or willing to relocate.