เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Hive

ประเภทงาน:

งานประจำ

• Respond to and resolve first-level IT support tickets efficiently.
• Assist users with hardware, software, and connectivity issues.
• Perform routine software installations and updates.
• Contribute to the creation and maintenance of technical documentation.
• Coordinate with senior staff on unresolved incidents.
• Support user account management activities.
• Follow IT security protocols to manage sensitive information.
• Assist users with application issues.
• Perform data correction as per request.
• Support day-to-day IT operations for systems utilized within the designated field.
• Assist in maintaining and troubleshooting common systems (HIVE, CX, Honda Connect, Web-EDI, Dealer Support, etc.).
• Monitor system performance and ensure smooth operation through regular checks and updates.
• Communicate with internal teams to swiftly address IT-related inquiries or issues.
• Participate in technical evaluations and testing of new systems as required.
• Bachelor's Degree in Computer Engineering, Computer Science, Information Technology or any IT related fields.
• 0-4 year experience in IT helpdesk, IT support, Call support or User management support on AD.
• Basic understanding of IT Service Management processes.
• Problem-solving skills to address IT issues effectively.
• Skills in hardware and software troubleshooting.
• Familiarity with networking basics and Microsoft 365 applications.
• Strong customer service and communication skills.
• Positive attitude, service minded, and high responsibility.
• Able to work in.
• Bangchan, Minburi.
• area.
• Permanent staff status (full time hiring) with full company's welfare & benefit.
• Attractive commission.
• Free lunch meal.
• Social Security.
• Provident Fund.
• Annual Leave.
• Health & accident insurance.
• Dental allowance.
• Transportation allowance.
• Salary increment.
• Company outing / new year party & many parties.
• Annual health check up.
• Training.
• Uniform.
• Birthday cake.
• Mini cafe and ice cream bar in office.
• BTS Yellow line Ladprao 71, Ladprao 83.
• MRT Ladprao.

ทักษะ:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

ประเภทงาน:

งานประจำ

• Data Engineering Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third-party tools and logs.
• Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
• Ensure data quality, reliability, and observability: Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
• Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.
• Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high-volume CEG data (calls, chats, emails, cases, events).
• Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).
• Data Tools & Product Development Design and build data tools and internal products for CEG (e.g., self-service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
• Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
• Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
• Apply solid software engineering practices - testing, code reviews, CI/CD, observability - to data products so they are reliable, maintainable, and easy to extend.
• At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.
• Data Analytics & Business Impact Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
• Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self-service access to data.
• Perform deep-dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data-driven recommendations.
• Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
• Communicate findings in simple, business-friendly language, including clear implications and recommended next steps.
• Stakeholder & Team Collaboration Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
• Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
• Mentor junior and mid-level team members on data engineering, analytics, and software engineering best practices.
• Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
• At Staff level, influence cross-team architecture and ways of working, making sure CEG's data ecosystem scales with business growth.
• 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data-driven environment (Staff level typically 10+ or equivalent scope/impact).
• Strong SQL skills (complex joins, window functions, aggregation, query optimization).
• Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
• Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
• Experience building production-grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
• Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
• comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non-technical stakeholders.
• Experience with event-driven data (logs, clickstream, customer journey, contact flows, tracking data).
• Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
• Experience with A/B testing, experimentation platforms, or causal analysis.
• Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
• Experience in online consumer products, travel, e-commerce, or marketplaces.
• Hands-on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
• Prior experience in a Staff or Tech-Lead role, driving technical direction and mentoring multiple engineers/analysts.
• 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:

Big Data

ประเภทงาน:

ฝึกงาน

• Part of 10-12 Platform Engineers that are the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and advanced analytics platforms at SeaGate.
• Apply your hands-on subject matter expertise in the Architecture of and administration of Big Data platforms - Data Warehouse Appliances, Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML, H2O, KNIME).
• Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders.
• Design, scale and deploy Machine Learning pipelines.
• Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure.
• Establish and maintain productive relationships with peer organizations, partners, and software vendors.
• Excellent coding skills in any language with deep desire to learn new skills and technologies.
• You're a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing analytics.
• As a motivated self-starter, you have the experience working in a dynamic environment.
• Exceptional data engineering skills in large, high-scale Data platforms and applications using cloud and big data technologies like Hadoop ecosystem and Spark.
• Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better.
• Excellent interpersonal skills to develop relationships with different teams and peers in the organization.
• Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR.
• Big data solutions on cloud (AWS or Other).
• Advanced experience and hands-on architecture and administration experience on big data platforms.
• Data Warehouse Appliances, Hadoop (AWS EMR), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML, H2O, KNIME ).
• Python, Java, Scala.
• DevOps, Continuous Delivery, and Agile development.
• Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers.
• Strong understanding of Micro-services and container-based development using Docker and Kubernetes ecosystem is a BIG plus.
• Experience working in a Software Product Development environment is a BIG plus.
• Located in the high technology district, our site in Wuxi is a global manufacturing hub, where nearly 5,000 employees deliver technical services, customer test, manufacturing, and support capabilities. On site you can grab breakfast, lunch, dinner and snacks at our canteen, grab-and-go market and coffee shop. We offer basketball, badminton, yoga clubs and group exercise classes. We also have music, dance, photography, and literature clubs galore, along with an active Toastmasters International chapter, and frequently have on-site festivals, celebrations and community volunteer opportunities.
• Location: Wuxi, China.
• Travel: None.

ทักษะ:

Good Communication Skills, Tableau, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• Analytics Process & Framework Improvement:- Take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions.
• Contribute to analytics-wide frameworks and integrate operations/marketing workflows into established data solutions.
• Influence & Stakeholder Collaboration:- Collaborate with direct stakeholders and adjacent cross-functional teams to align data initiatives with operational goals.
• Communicate analytical solutions to mid-to-senior level partners, providing data-backed rationale to support decision-making.
• Data Solutions and Innovation:- Explore and propose workable, optimal solutions to challenges considering technical and operational constraints.
• Proactively address blockers within the team to keep projects moving forward.
• Mentorship & Team Growth:- Mentor junior analysts by sharing technical best practices, guiding problem-solving approaches, and helping them develop their analytical capabilities.
• Consistently seek out opportunities to improve personal technical skills and upgrade internal team processes and frameworks.
• What Essential Skills You Will Need.
• 4 years+ of analytical experience conjugated with business acumen, preferably in the e-commerce or the Internet industry.
• Bachelor's degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects.
• Advanced experienced of analytical tools such as Excel (VBA, Pivot), database querying (SQL, Presto, Hive), visualisation and reporting tools (Tableau, PowerBI, Holistics).
• Advanced experience of programming languages (Python, R).
• Strong ability to work with complex data sets.
• Good communication skills to translate analytics specificities for all audiences.
• Full professional working proficiency in English is required, on top of fluency in Thai.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

ทักษะ:

Project Management, Risk Management, Data Analysis, Recruitment, Automation, Big Data, Hadoop, SQL

ประเภทงาน:

งานประจำ

• Responsible for end-to-end project management of enhancements from pre-project initiation, requirements gathering, development and testing, implementation to post implementation system monitoring, system issues escalation and resolutions as applicable.
• Quarterly Release management to prioritize the implementation of Change Requests for the purpose of addressing regulatory requests or enhancing the AFC system control and operational effectiveness.
• Prioritize Change Requests enhancements and drive Change Management process in enhan ...
• As a subject matter expert in AML/CFT Transaction Monitoring solutions and other systems solutions in managing regulatory requests or queries and audit related matters on systems.
• As a subject matter expert in Customer Due Diligence space, engage counterparts from Technology, Compliance and Business Stakeholders and external vendors to provide AML/CFT systems related advisory support.
• Provide over-sight on systems thresholds & parameters review with key stakeholders to ensure thresholds remain fit for purpose.
• Possess minimum 10 years of relevant work experience in team lead role and project management role.
• Good knowledge/understanding of AML/CFT regulations, best practices and financial products and AML systems and Financial Crime.
• Keep abreast of new emerging industry trends and technologies in the field of AML/CFT, Financial Crime, AI, Analytics and Automation.
• Possess proven track records in project management, ability to multi-task and execute deliverables within tight timelines.
• Ability to work effectively under pressure in a rapid changing environment, as well as autonomously and as an effective member of a dynamic team.
• Possess knowledge and experience in deploying data analytics, data visualization and robotic process automation.
• Experience with data analysis and business intelligence tools (e.g., SQL, QlikSense), as well as big data analytics frameworks such as Hive, Impala, Oozie, and Hadoop.
• Possess strong communication, presentation, and interpersonal skills.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• Additional Requirements.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
• Apply now and make a Difference.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, Power BI, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• Collaborate with stakeholders to understand business needs and objectives, and translate them into clear technical specifications.
• Design and develop scripts on the HUE Cloudera based on defined requirements, conduct UAT with users to validate functionality, and execute deployment into the production environment.
• Collect, analyze, and interpret large datasets using tools such as Power BI, Hue, Impala, and Hive. Develop and maintain dashboards and visualizations to support busine ...
• Design and implement data models and algorithms to identify trends, patterns, and insights. Optimize data processes and workflows to enhance productivity and efficiency.
• Perform regular audits and validation checks to maintain data integrity and accuracy.
• Provide ad-hoc data analysis and reporting as needed. Design and implement key metrics to create comprehensive Power BI dashboards for monitoring performance, identifying risks, and improving SLA.
• Maintain and improve SQL queries and Power BI dashboards to ensure seamless decision-making for management and operations teams.
• Stay up-to-date with industry trends and best practices in data analytics.
• Job Qualifications.
• Bachelor's or higher degree degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Minimum of 5 years of experience in the banking sector.
• Proficiency in data analysis tools and languages such as SQL, Python, R, and Excel.
• Experience with data visualization tools like Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities with internal and external parties.
• Attention to detail and a commitment to data accuracy.
• Proven ability to coordinate effectively with project teams and various business units.
• Strong knowledge of banking systems.
• Proficient in spoken and written English.
• Demonstrated ability to manage and complete tasks within SLA and assigned timelines.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• Additional Requirements.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
• Apply now and make a Difference.