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Skills:

Good Communication Skills, Project Management, System Security

Job type:

Full-time

Make an impact at NTT Global Data Centers Join NTT Global Data Centers and be part of a team that drives innovation and sustainability in the digital world. With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative, innovative, and inclusive workplace where your ideas are valued, and your growth is supported. Your role at a glance The Senior Associate IT Data Center Operations Analyst is a developing subject matter expert typically responsible for ...

Experience:

5 years required

Skills:

Architecture, Leadership Skill, Big Data, Python, English

Job type:

Full-time

• 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.

Skills:

SAP, ERP

Job type:

Full-time

• Bangkok, Bangkok, Thailand.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• ตำแหน่งที่เปิดรับ.
• Master Data Management.
• รายละเอียดตำแหน่ง Master Data Management.
• รับผิดชอบดูแล สนับสนุน และพัฒนางานด้าน.
• Master Data และระบบ SAP.
• เพื่อให้ข้อมูลในระบบมีความถูกต้อง ครบถ้วน และสอดคล้องกับกระบวนการทางธุรกิจ รวมถึงสนับสนุนผู้ใช้งาน แก้ไขปัญหาระบบ บริหารโครงการที่เกี่ยวข้องกับการพัฒนาและปรับปรุงระบบ ตลอดจนประสานงานกับทีมที่เกี่ยวข้องเพื่อให้การดำเนินงานเป็นไปอย่างมีประสิทธิภาพ.
• ตอบสนองและแก้ไขปัญหาของผู้ใช้งานได้อย่างรวดเร็ว เพื่อให้มั่นใจว่าการทำงานของระบบและแอปพลิเคชันอื่น ๆ เป็นไปอย่างราบรื่น.
• ระบุปัญหาที่เกิดขึ้นในระบบ, รับผิดชอบในการแก้ไข, และผลักดันให้ปัญหาได้รับการแก้ไขจนสำเร็จลุล่วง.
• นำทีมริเริ่มและดำเนินโครงการปรับปรุงกระบวนการทำงานในขอบเขตที่รับผิดชอบอย่างต่อเนื่อง พร้อมเสนอและนำแนวทางการพัฒนาที่เหมาะสมมาใช้.
• ตั้งค่าระบบ SAP และจัดทำเอกสารข้อกำหนดทางเทคนิคสำหรับการพัฒนาโปรแกรมเพิ่มเติม (add-on program) ให้สอดคล้องกับแผนการออกแบบกระบวนการทางธุรกิจ.
• ดำเนินกิจกรรมต่าง ๆ ตามแผนโครงการหลักที่วางไว้ รวมถึงการทดสอบระบบในขั้นตอนต่าง ๆ (System Unit Testing, Add-on Program Testing, System Integration Testing) และจัดอบรมให้กับผู้ใช้งาน.
• จัดทำรายงานสถานะโครงการและรายงานความคืบหน้าอย่างสม่ำเสมอ พร้อมแจ้งปัญหาและความเสี่ยงที่อาจเกิดขึ้นอย่างทันท่วงที.
• ปริญญาตรีขึ้นไป สาขาเทคโนโลยีสารสนเทศ, วิทยาการคอมพิวเตอร์, วิศวกรรมคอมพิวเตอร์, บริหารธุรกิจ, ระบบสารสนเทศ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน.
• Master Data Management, SAP Support, SAP Functional.
• หรือระบบ ERP ที่เกี่ยวข้อง.
• มีความเข้าใจด้าน.
• Business Process.
• และการเชื่อมโยงข้อมูลในระบบงาน.
• มีประสบการณ์ในการวิเคราะห์ความต้องการผู้ใช้งานและจัดทำเอกสาร Requirement / Specification.
• มีประสบการณ์ด้านการทดสอบระบบ UAT / SIT / Integration Test จะพิจารณาเป็นพิเศษ.
• หากมีประสบการณ์เกี่ยวกับ.
• SAP Configuration.
• หรือการดูแล Master Data Structure จะได้รับการพิจารณาเป็นพิเศษ.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• แชร์.
• Facebook.
• Line.
• LinkedIn.
• X (Formerly Twitter).
• Whatsapp.
• Email.

Experience:

5 years required

Skills:

Business Development, Risk Management, E-learning, Leadership Skill, Python

Job type:

Full-time

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 ...

Skills:

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

Job type:

Full-time

• 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.

Skills:

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

Job type:

Full-time

• 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.

Skills:

Risk Management, Negotiation, Accounting, Leadership Skill, Assurance

Job type:

Full-time

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 ...

Skills:

Risk Management, Assurance, ISO 27001, Power BI, Tableau

Job type:

Full-time

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 ...

Experience:

3 years required

Skills:

Automation

Job type:

Full-time

• Develop and generate pricing reports, dashboards and automation tools to drive Pricing KPIs and process improvement.
• Managing and drive pricing KPIs by running regular reports and collaborating with stakeholders to implement pricing action (for example, Ship to Agreement, surcharge exception, Net Price Change, customized rates, new rates programs.
• Execute the major annual pricing projects including General Price Increase.
• Conduct analysis and review of pricing, costing, operational process, and profit for selected customers using the relevant pricing tools from Regional/Global Pricing.
• Provide competitive pricing offers and contracts for our major and key account customers whilst maintaining profit yielding structures.
• Recommend pricing strategies on RFQs and GSRT.
• Work closely with the Commercial, Operations, and other regional/ global teams to develop, implement and track recommended actions from SPA workshop and Regional Pricing.
• Devise innovative processes/ programs and solutions to make pricing more efficient through country rating system (GRE) and continue to drive profitable growth for DHL's business forward.
• Advise on appropriate pricing strategy for regional or global led RFQs upon request through Local/Regional TRB.
• Maintain country rating system (GRE) with setup of rates, S&S maintenance and all other settings.
• Train and advise sales in exercising the discount policy/pricing strategies/product tariff structure and dispensing contract rates or discounted rates appropriately.
• Ensure that all pricing collaterals such as tariff cards submitted to customers portray the brand in a positive manner and are user friendly.
• Ensure up-to-date pricing information is made available on company's SharePoint such as rates, service and surcharges, etc.
• Provide general pricing support including system support, billing errors and ad-hoc reports for stakeholders.
• Bachelor's Degree or Higher in Business Administration, Finance, Marketing, Information Technology, Computer Science, Data Analytics or equivalent will be preferred.
• Minimum 4 years' data experience in data analytics with demonstrated commercial acumen, numerical and problem-solving skill - Essential.
• Good command of English (Both of Written & Spoken).
• Hands on experience with large-scale reporting and data evaluation.
• Strong attention to detail and a demonstrated ability to ensure accuracy and quality in data analysis.
• 3-4 years experience in product and/or service pricing, marketing analysis, business analysis, or a related field will be an advantage.
• Strong analytical capability, with practical experience in MS Excel (including VBA Macro, Power Query and Power Pivot), SQL/Access, and Power BI.
• Experience with automation tools such as Power Automate, Power Apps, SharePoint Automation, RPA, or Python will be an advantage.
• Ability to manage multiple priorities, meet deadlines, and adapt effectively to changing business requirements.
• Ability to work independently as well as collaboratively within a team.
• Strong communication, project management, collaboration, and stakeholder management skills.

Experience:

8 years required

Skills:

Business Development, Risk Management, Data Analysis, Architecture, Accounting

Job type:

Full-time

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 ...

Experience:

2 years required

Skills:

Google Cloud Platform, Agile Development, Public Speaking, Microsoft Azure, Web Services

Job type:

Full-time

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 ...

Experience:

3 years required

Skills:

Statistical Analysis, Problem Solving, Automation, TensorFlow, Leadership Skill

Job type:

Full-time

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 ...

Skills:

Architecture

Job type:

Full-time

• Design computational data models, reusable schemas, and structured data frameworks that improve interoperability, consistency, and machine usability across the R&D data ecosystem.
• Define reusable entity structures, metadata patterns, relationships, and data contracts that support integration across experimentation systems, analytics environments, and digital products.
• Translate scientific and business complexity into scalable model logic and reusable ...
• Context- and Knowledge-Driven Data Modelling.
• Develop context-rich data models that connect scientific data, metadata, documents, protocols, business rules, and domain concepts into reusable knowledge assets.
• Create information structures that preserve scientific meaning and operational context to improve consistency across functions and over time.
• Improve discoverability and reuse by formalizing relationships, definitions, and contextual attributes across fragmented systems and data sources.
• Ontology, Knowledge Graph, and RAG Foundations.
• Apply ontology principles to define consistent concepts, hierarchies, relationships, and machine-readable rules across priority R&D data domains.
• Support the development of R&D knowledge graph foundations by modeling relationships between experiments, protocols, observations, methods, assets, and decisions.
• Enable Retrieval-Augmented Generation (RAG) and other knowledge-driven AI approaches by improving retrieval structures, contextual linkages, and connections between structured and unstructured information.
• AI-Ready Data Platform Enablement.
• Contribute to AI-ready data platforms by defining reusable knowledge layers, integration patterns, and data-readiness standards.
• Partner with platform owners, Bioinformatics leads and technical stakeholders to scalable AI integration, and reliable information retrieval.
• Collaboration with Data Scientists and Bioinformatics Leads.
• Collaborate with Data Scientists and Bioinformatics lead to ensure analytical, digital, and AI solutions are built on reusable and scalable data foundations.
• Contribute to shared architecture discussions, design reviews, and foundational modelling decisions aligned with business and platform needs.
• Documentation, Standards, and Change Enablement.
• Document modelling standards, ontologies, schemas, and reusable reference patterns to support consistent adoption across teams.
• Provide technical guidance on computational data models, ontology structures and AI-ready data design approaches.
• Governance, Safety, and Professional Standards.
• Ensure data models and knowledge structures align with governance, security, lineage awareness, traceability, and responsible AI enablement standards.
• Balance architectural rigor, usability, innovation, usability, and practical business value to support scalable implementation.

Skills:

Big Data, SQL

Job type:

Full-time

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!.

Experience:

2 years required

Skills:

Project Management, Data Warehousing, Architecture, Postgre SQL, Accounting

Job type:

Full-time

Enterprise Data Restructuring and Standardization Assess and map all existing data sources across departments, including: Sales and distribution, E-commerce and marketplaces, Marketing and media CRM and loyalty programs, Finance and accounting Identify data silos, inconsistencies, redundancies, and gaps. Design and implement company-wide data architecture and taxonomy. Establish data standards, naming conventions, and data dictionaries. Create governance policies to ensure long-term consistency. 2. Data Categorization and Classification Define standardized categories and hierarchie ...

Skills:

Recruitment

Job type:

Full-time

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Provide Commissioning Man ...

Experience:

2 years required

Skills:

Power BI, Tableau, SQL

Job type:

Full-time

หน้าที่ความรับผิดชอบ: รวบรวมและวิเคราะห์ความต้องการด้านธุรกิจและข้อมูลจากลูกค้าและทีมงานภายใน จัดทำและจัดเตรียมเอกสาร Business Requirement Document (BRD), Data Flow, และ Process Flow วิเคราะห์ข้อมูลเบื้องต้นโดยใช้เครื่องมือ เช่น SQL, Excel, Power BI สร้างรายงานเชิงวิเคราะห์เพื่อสนับสนุนการตัดสินใจทางธุรกิจ ประสานงานกับทีมพัฒนาเพื่อออกแบบโซลูชันที่ตอบโจทย์ทางธุรกิจ คุณสมบัติ: วุฒิการศึกษาระดับปริญญาตรีหรือสูงกว่าในสาขาวิทยาการคอมพิวเตอร์ สถิติ วิศวกรรม หรือสาขาที่เกี่ยวข้อง มีประสบการณ์ในการวิเคราะห์ข้อมูลและจัดทำรายงานเชิงวิเคราะห์อย่างน้อย 2 ปี มีความสามารถในการใช้ SQL, Excel และเ ...

Experience:

1 year required

Skills:

Leadership Skill

Job type:

Full-time

Job Title Project Lead (Data Centre) Job Description Summary We are seeking a seasoned Project Director to lead the end-to-end delivery of large-scale data center developments, with a focus on hyperscale and greenfield projects. This role demands a strategic leader with deep technical expertise, exceptional stakeholder management skills, and a proven track record in delivering complex, high-value infrastructure projects across diverse geographies. Job Description About the Role: Lead full lifecycle delivery of hyperscale and greenfield data center projects from site selection and d ...

Skills:

Statistical Analysis, Recruitment

Job type:

Full-time

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone. As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of peopl ...

Skills:

Digital Marketing, Statistics, Python

Job type:

Full-time

• Bachelor's Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• Contact: K.Wannaporn 02------866.
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