เงื่อนไขการค้นหา

ทักษะ:

Industrial Engineering, Electrical Engineering, Mechanical Engineering, Production Engineering, Microsoft Office, Problem Solving, YouTube, AutoCAD, English

ประเภทงาน:

งานประจำ

• Improve current or New models quality, cost and delivery. Scope Trim & Chassis shop.
• New making and improve small tools, jig to support production process.
• Cross functional activities for quality, productivity and cost improvement.
• Bachelor's degree in Mechanical Engineering, Industrial Engineering, Electrical Engineering.
• Having interest of Automotive Industry at Production Engineering.
• Microsoft office (Excel, PowerPoint).
• Have statistics and mechanical engineering knowledge.
• Strong automotive technical knowledge and experience using software e.g., CAD, AutoCAD, and NX software is a plus.
• Good English communication (Verbal and writing) skills. (TOEIC: 500 over).
• Collaborative, cross functional mindset and always eager to learn in new system, processes, diving into details, problem solving.
• If you are interested in this job role, please prepare your updated resume or LinkedIn profile for the application process through the Nissan Job Portal.
• Only shortlisted candidate will be contacted for an interview".
• For more information about Nissan's products, services, and commitment to sustainable mobility, visit nissan-global.com. You can also follow us on Facebook, Instagram, X and LinkedIn and see all our latest videos on YouTube.
• Why Nissan?.
• You will definitely get the right answers why you should join us through watching the video on YouTube.
• Samut Prakan Thailand.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Our business
• Engineering services for renewable energy projects, primarily solar power generation systems
• Consulting services within the same field
• Hiring reason
• We are seeking new members in preparation for a large-scale project scheduled for 2025.
• Planning and coordinating projects
• Business trips with a Avg 3-4 months project every 2-5 months.
• Managing workers on site
• Overall project management, including design, material procurement, and schedule management
• Collaboration with clients and other technical teams
• Other necessary tasks.
• Must
• Must submit Transcript and English CV before application
• Male, Thai national, Age22~25
• New grad only
• Bachelor Degree in Electrical Power Engineer/Electrical Engineering fields
• Have driver license * Car provided
• Can work on Saturday *If customer request(Company provide OT Fee or can take leave on weekday)
• Conversational English level
• Advantage
• Active person
• Ability to use Auto-CAD
• Able to travel to up-country.
• Benefit.
• Living Allowance
• Travel Allowance *Basically full paid
• Gasoline allowance *Only if you commute to the job site by private vehicle
• O.T. Allowance
• Provident fund
• Medical Allowance
• Social Security Fund
• Bonus
• Salary adjustment (Once/year).
• Working Hour.
• 08:30 - 17:30.
• Holiday.
• Saturday
• Sunday
• Public holidays
• Work on Saturday (Frequency depends on the situation).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development, Analytical Thinking, Cost Estimation, Product Testing, Enthusiastic, English

ประเภทงาน:

งานประจำ

• New Market Penetration: Introduce and sell the company's new products (e.g., GFRP, C-Channel, UPVC Wall Cladding/Sheet Pile, Vinyl Roof, and Medical Products) to target customer groups including project owners, designers/architects, contractors, government agencies, and B2B clients.
• Product Ideation & Market Survey: Collaborate with the product development team (Product Testing / Market Survey) in the market, identify customer pain points, and use feedback to develop products that meet customer needs.
• Project Pipeline Management: Track the status of various projects, from cost estimation and standard package creation to quotation and final sale closing.
• Cross-functional Collaboration: Coordinate closely with internal teams such as Product Development, Marketing, and Partner Organizations (CBM) to ensure a smooth new product launch process.
• Bachelor's degree in Engineering or any related field.
• Minimum GPA of 2.70 for undergraduate and 3.30 for postgraduate studies.
• Good command of English (TOEIC score of 550 or higher).
• 3 - 5 years' experience in Sales & Construction Materials will be advantaged.
• Having basic understanding of consumer behavior and marketing research.
• Customer Network: Having a database or connections with architects, large-scale project contractors, real estate developers, or industrial factory clients.
• Interpersonal Skill, Creative, Enthusiastic, Hardworking, Result Oriented.
• Hunter & Pioneer Mindset: Highly ambitious, a market pioneer, not afraid of rejection, and ready to tackle projects without a clear, fixed path.
• Agility & Adaptability and Strategic & Analytical Thinking.
• Flexible to work Up-country / Have driving license.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development

ประเภทงาน:

งานประจำ

• จัดทำ Business Model (Product, Service, Solution) เพื่อแสวงหาโอกาสขยายผลธุรกิจ รองรับการขยายธุรกิจสู่ตลาดต่างประเทศ.
• ปฏิบัติงานภาคสนาม ณ หน้างานจริง (ติดตั้ง, ร้านค้า Agent, ออกบูธ) เพื่อส่งเสริมการรับรู้, เก็บ Feedback (VOC) และนำไปใช้ในการปรับปรุงผลิตภัณฑ์ให้ตรงตามความต้องการของลูกค้า.
• ดำเนินการตามกระบวนการ NPD ตั้งแต่ต้นจนจบ: การเก็บข้อมูล, ออกแบบ, ทดสอบ, เปิดตัว (Launch), และติดตามผลหลังการเปิดตัว เพื่อให้เกิดการปรับปรุงอย่างต่อเนื่อง.
• ประสานงานกับ Partner ทั้งภายใน และภายนอก เพื่อแสวงหาและสร้างโอกาสทางธุรกิจใหม่ ๆ และสนับสนุนการขยายตัวของธุรกิจสู่สากล.
• Bachelor's degree in Mechanical Engineering or any related field.
• Minimum GPA of 2.70 for undergraduate and 3.30 for postgraduate studies.
• Good command of English (TOEIC score of 550 or higher).
• Experience in developing new product for polymer/composite construction materials from concept, design and prototyping to pilot production, testing/validation, and scale-up. (Experience will be an advantage).
• Proven ability to identify market/product gaps and implement corrective actions, including running on-site product trials, collecting installer/customer feedback, and translating insights into design/spec improvements. (Experience will be an advantage).
• Willing to work upcountry (outside major cities) and can operate effectively independently (stand alone).
• Competency.
• Knowledge and understanding of polymer and composite materials used in construction or related industries.
• Knowledge of Product Engineering principles, including material science and manufacturing processes (QA/QC).
• Excellent communication and collaboration skills for multi-department teamwork.
• Proficiency in Engineering Design Software (solidwork) and/or system simulation tools.
• Ability to conduct technical analysis and problem-solving.
• Knowledge and understanding of marketing content related to product positioning, market needs, and competitive analysis.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Project Management, Quality Assurance, Data Analysis, Power point

ประเภทงาน:

งานประจำ

Business Process Improvement (BPI) Consultant - Finance Transformation Job Summary The Business Process Improvement (BPI) Consultant supports finance transformation initiatives by improving end-to-end processes, enabling shared services, and supporting ERP (SAP) implementations. The role focuses on Procure-to-Pay (P2P), Order-to-Cash (O2C), Record-to-Report (R2R), Hire-to-Retire (H2R), costing model design, and automation-led efficiency improvements. Key Responsibilities Business Process Improvement (BPI) Perform end-to-end BPI across finance processes including P2P, O2C, R2R, and ...

ทักษะ:

Teamwork

ประเภทงาน:

งานประจำ

Why Coda Coda is a global growth engine for commerce, connecting people, digital products, and payments through trusted monetization and distribution solutions. With 600+ people from 57 nationalities across 23 locations, we're a truly global team headquartered in Singapore, with offices in Amsterdam, Dubai, Bristol, Shanghai, Eindhoven, and across Southeast Asia. We power global commerce through a dual model. Our B2B solutions, Codapay, Coda Webstore, Coda Links, Coda Distribution, and Giftcloud, enable publishers and brands to monetize and distribute digital content globally. On t ...

ทักษะ:

Project Management, Public Speaking, Recruitment, Purchasing, Leadership Skill

ประเภทงาน:

งานประจำ

Req ID: 137520 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Summary Manager of a large and or complex Customer Focused team within a site. Direct reports include all the indirect functions necessary to execute the customer's business and all of the manufacturing activities required by the customer's business. Accountable for the execution of the customer's business within the site within cost budgets, and for driving improvements in performance and customer loyalty, reduction in cost and overall financial performance. Has direct rep ...

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

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

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 ...

ทักษะ:

Procurement

ประเภทงาน:

งานประจำ

• Drive new part development to achieve QDC (Quality, Delivery, Cost) targets.
• Clarify part specifications and scope of work with R&D and suppliers.
• Manage and coordinate with HQ, R&D teams, suppliers, and factory teams to ensure new parts meet all project targets.
• Analyze issues arising during part development, identify root causes, and implement effective solutions.
• Perform part cost simulations, review quotation breakdowns, evaluate cost reduction opportunities, and verify supplier cost accuracy.
• Negotiate with suppliers to secure the best commercial conditions.
• Coordinate with cross functional teams and provide support to ensure successful and on time project delivery.
• Oversee supplier performance, drive continuous improvement, and manage potential risks.
• Bachelor's degree in any fields; an engineering background is preferred.
• Knowledge and experience in new model preparation and procurement management. (Buyer field preferred).
• Background in the manufacturing field with understanding of basic part design and part production processes.
• Ability to interpret and understand technical drawings of vehicles and parts.
• Strong skills in part cost analysis and negotiation.
• Proficient in English, with strong speaking and writing skills (able to communicate confidently in English).
• Ability to manage multiple tasks, set priorities effectively, and adapt to changing conditions and work environments.
• KEY WORD: NEW MODEL ENGINEER, PROCUREMENT ENGINEER, COST DEVELOPMENT ENGINEER.
• Only short-listed candidates will be considered. Please submit your application in English together with detailed resume, expected salary, and references of past employers and recent photo to.
• HUMAN RESOURCES DEPARTMENT.
• YAMAHA MOTOR ASIAN CENTER CO.,LTD.
• 112 Moo 1, Debaratana Rd., K.m. 21, Tambol Srisa Jorrake Yai,.
• Amphur Bangsaothong, Samutprakarn 10570.
• Website: www.yamaha-motor-asia.com.

ทักษะ:

Accounting, Budgeting, CFA, English, Thai

ประเภทงาน:

งานประจำ

Job Summary: The right transaction can enhance an organization's growth, competitiveness and profitability. Our Valuation, Modeling an Economics (VME) professionals play an integral role in helping clients effectively executive their transactions. As a valuation professional at EY, you will help global organizations make strategic decisions by providing responsive, objective advice on valuing businesses, shares and assets. As a business modelling professional you will carry out model review, model support and model build services to assist clients with their strategic decisions. Cl ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Product Development, Automation, Leadership Skill, Nutrition

ประเภทงาน:

งานประจำ

We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Information Technology & Digital In IT and D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working wi ...

ทักษะ:

Architecture, Docker, Python

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:

2 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Social media, Negotiation, Power point, eCommerce

ประเภทงาน:

งานประจำ

CREA's mission is to power brand through digital commerce to reach the booming, digital savvy, Millennial and Gen Z consumers in Southeast Asia. The e-commerce business model is evolving fast. Today simply knowing how to list, ship and manage digital payments is not enough to differentiate brand online. As CREA's Junior Key Account Manager, you're the pivotal link between our brands and internal teams, overseeing a seamless e-commerce journey. You'll collaborate with various departments to boost customer experience and drive brand growth. The ideal candidate is more than just a qui ...

ทักษะ:

Quantitative Analysis, Business Development, Financial Modeling, Risk Management, Accounting

ประเภทงาน:

งานประจำ

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. To better reflect this, 'The exceptional EY experience. It's yours to build.' is our new promise to our people. The opportunity EY is committed to doing its part in building a better working world. The insights and quality services ...

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Microsoft Office, Power point, Assembly, English

ประเภทงาน:

งานประจำ

• Control and monitor incoming quality performance for current and new model parts.
• Support in-line troubleshooting, defect investigation, supplier quality analysis, and defect judgement with related departments based on drawing and specification requirements.
• Conduct containment action for supplier quality issue, root cause analysis, 8D report validation, and countermeasure verification to prevent recurrence and improve supplier quality systems.
• Coordinate corrective and preventive actions with suppliers and related departments.
• Support new model activities including on-site co-check, APQP, trial evaluation, change point confirmation, quality readiness validation, supplier audit, and process change confirmation.
• Analyze dimensional and inspection results using measurement and inspection equipment.
• Monitor quality data, prepare management reports, and support quality system improvement activities.
• Support urgent quality issues and production impact cases.
• Bachelor's Degree in Engineering with 2-3 years experience in QA, QC, Supplier Quality in automotive manufacturing business.
• Basic knowledge of quality tools such as 7 QC tools, Why-Why analysis, 8D, FMEA, and APQP.
• Able to read engineering drawings, understand GD&T, and analyze inspection results based on drawing and specification requirements.
• Able to coordinate with suppliers and cross-functional teams along with good communication and problem-solving skills.
• Able to use and analyze inspection results from measurement equipment such as Caliper, Height Gauge, CMM, Roughness/Roundness/Contour.
• Basic understanding of manufacturing processes such as Die Casting, Machining, Heat Treatment, Injection, and Assembly process.
• Good command in English communication and report writing.
• Able to work under pressure and support urgent quality issues.
• Proficient in Microsoft Office (Excel, PowerPoint, etc.).
• Site Allowance 10% of base salary.
• Diligent Allowance.
• Provident Fund.
• Health Insurance.
• Bonus.

ทักษะ:

Software Development, Architecture, Automation, Teamwork

ประเภทงาน:

งานประจำ

Why Coda Coda is a global growth engine for commerce, connecting people, digital products, and payments through trusted monetization and distribution solutions. With 600+ people from 57 nationalities across 23 locations, we're a truly global team headquartered in Singapore, with offices in Amsterdam, Dubai, Bristol, Shanghai, Eindhoven, and across Southeast Asia. We power global commerce through a dual model. Our B2B solutions, Codapay, Coda Webstore, Coda Links, Coda Distribution, and Giftcloud, enable publishers and brands to monetize and distribute digital content globally. On t ...

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development, Postgre SQL, Automation, Javascript, Kubernetes

ประเภทงาน:

งานประจำ

• Design, develop, and fine-tune Generative AI solutions using leading LLMs such as GPT-4o, Claude (Anthropic), Gemini, and open-source models (LLaMA, Mistral, etc.).
• Build and maintain End-to-End AI Chatbot systems from prompt engineering and LLM integration to deployment and monitoring.
• Develop production-grade RAG (Retrieval-Augmented Generation) Chatbot pipelines integrating vector search, document chunking, embedding models, and LLM inference.
• Implement and manage Vector Storage solutions using FAISS, Qdrant, Weaviate, Pinecone, or similar technologies for semantic search and knowledge retrieval.
• Design and deploy Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom multi-agent orchestration workflows.
• Integrate AI capabilities with enterprise APIs, databases, and internal platforms via LangChain, LlamaIndex, or equivalent tooling.
• Stay current with rapidly evolving AI/ML tools including Hugging Face, Ollama, vLLM, OpenAI APIs, Vertex AI, AWS Bedrock, and Azure OpenAI Service.
• AI Product Development & MLOps.
• Own the end-to-end AI product lifecycle: requirements gathering, model selection, development, testing, deployment, and continuous improvement.
• Build and manage scalable AI inference pipelines with performance monitoring, logging, and cost optimization.
• Design prompt engineering strategies, evaluation frameworks, and guardrails for safe and reliable LLM outputs.
• Implement CI/CD workflows for AI models using MLflow, DVC, or similar MLOps tools.
• Collaborate with Data Science and Engineering teams to productionize machine learning and AI models.
• Identify opportunities to embed AI capabilities into business workflows, automation, and decision-making processes.
• Data Engineering & Platform (Foundational Awareness).
• Understand the fundamentals of data pipeline concepts (ETL/ELT, batch and streaming) to effectively collaborate with Data Engineering teams.
• Able to read, query, and work with data from common platforms such as Databricks, Snowflake, BigQuery, or PostgreSQL.
• Understand data flow from source systems to data warehouses/lakehouses to inform AI model inputs and outputs.
• Familiar with vector database concepts and embedding pipelines sufficient to configure and use them in AI projects.
• Capable of communicating data requirements clearly to Data Engineers when building AI features or knowledge bases.
• Collaboration & Innovation.
• Partner with product managers, business stakeholders, and engineers to translate business requirements into AI solutions.
• Contribute to and promote best practices for AI development, testing, documentation, and responsible AI usage.
• Mentor junior engineers and share knowledge on emerging AI tools, frameworks, and research.
• Evaluate and adopt new AI/ML technologies and frameworks to keep the team at the forefront of innovation.
• Effectively manage multiple priorities and deliver high-quality solutions independently and as part of a team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, or a related field.
• 3+ years of hands-on experience in AI/ML engineering with a focus on Generative AI and NLP applications.
• Proven experience building Generative AI solutions using GPT-4o, Claude (Anthropic), Gemini, or equivalent LLMs this is a must.
• Hands-on experience with RAG Chatbot development: embedding pipelines, chunking strategies, retrieval tuning, and LLM response generation.
• Proficiency in Vector Storage technologies such as FAISS, Qdrant, Weaviate, Pinecone, or ChromaDB.
• Experience building End-to-End Chatbot systems including intent handling, context management, multi-turn dialogue, and API integration.
• Practical knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI, or similar) for building multi-step, tool-using AI agents.
• Strong Python programming skills Python (required), SQL, JavaScript/TypeScript (a plus).
• Familiarity with popular AI/ML tools and platforms: LangChain, LlamaIndex, Hugging Face, Ollama, vLLM, OpenAI SDK, Vertex AI, AWS Bedrock, or Azure OpenAI.
• Experience with prompt engineering techniques including few-shot prompting, chain-of-thought, structured output, and function calling.
• Ability to evaluate LLM outputs using metrics and frameworks (RAGAS, TruLens, or custom eval pipelines).
• AI Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, Hugging Face Transformers.
• LLM Platforms: OpenAI (GPT-4o), Anthropic Claude, Google Gemini, Meta LLaMA, Mistral.
• Vector Databases: FAISS, Qdrant, Weaviate, Pinecone, ChromaDB.
• Cloud & Data: AWS / GCP / Azure AI services, Databricks, Snowflake, PostgreSQL.
• MLOps: MLflow, DVC, Docker, Kubernetes (a plus).
• Big Data: Apache Spark, Kafka (a plus).
• Experience in Retail or E-Commerce AI applications (e.g., recommendation engines, pricing AI, conversational commerce).
• Familiarity with fine-tuning and PEFT techniques (LoRA, QLoRA) for LLMs.
• Knowledge in machine/statistical learning, computer vision, or time series forecasting.
• Experience with AI safety, hallucination mitigation, and responsible AI practices.
• Contributions to open-source AI projects or published AI research.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

• Work with the team to propose new business models and opportunities in the energy sector, focusing on digital infrastructure and Data Center developments to create sustainable expansion opportunities in Thailand.
• Seek and select business opportunities in new projects such as Wind, Solar Rooftop, EV Chargers, และ Data Center Co-location/Enterprise facilities in line with the company's policies.
• Analyze the synergy between renewable energy solutions and high-demand energy consum ...
• Project Execution & Analysis.
• Collaborate in the development, planning, and analysis of business projects, strategies, and comprehensive financial models, including feasibility studies for Data Center site selection and energy infrastructure integration.
• Develop and implement projects and drive new Wind, Solar Rooftop, and EV Charger initiatives, specifically targeting energy supply solutions for Data Centers to ensure 24/7 green power reliability.
• Conduct due diligence and develop a deep understanding of clients' businesses, with a focus on the technical and energy requirements of the cloud service and telecommunications industries.
• Partnership & Financial Strategy.
• Build sustainable business partnerships with both public and private sectors, including Hyperscalers and Data Center operators, to enhance business growth.
• Study mergers and acquisitions (M&A) both domestically and internationally, evaluating potential targets in the renewable energy and digital infrastructure space.
• Formulate and execute financial and commercial strategies tailored to client objectives, addressing the unique CAPEX/OPEX structures of energy-intensive assets.
• Leadership & Reporting.
• Prepare and oversee the development of pitch decks and presentations that highlight the value proposition of integrated energy-data solutions.
• Prepare accurate marketing and progress reports systematically for management to support strategic decision-making.
• Support and guide team members in financial modeling and transaction execution (for senior roles).
• Bachelor's in Engineering,Electrical Engineering or related fields.
• Master's degree in Finance,MBA or related fields.
• At least 3-7 years of experience in developing Wind, Solar Rooftop and Digital infrastructure and Data Center Developments Projects, EV Charger projects or related work.
• Experience in business project planning and analysis, business strategy, financial model analysis, and feasibility studies.
• Experience in Investment Banking, Private Equity, Corporate Finance, or a related financial sector.
• Relevant experience in the energy industry will be considered a plus.
• Strong presentation and negotiation skills.
• Proficient in Microsoft Office.
• Good command of English, with a minimum TOEIC score of 700.
• Knowledge of sales processes and methods, as well as an overall understanding of energy business strategy development.
• Basic legal knowledge, including NDAs, PPAs, and land contracts.
• How to apply.
• Click APPLY NOW for submit your application.
• Interested candidates are invited to send with full resume, stating present and expected salaries, and enclosing a recent photograph to the address below.
• Working Location: Park Ventures Ecoplex, BTS Phloen Chit.

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Quality Assurance, Assurance

ประเภทงาน:

งานประจำ

• Carry out daily audit on production operation according to operation instruction in pilot run line.
• Perform quality audit in production process, sub-assemblies and finished goods.
• Conduct quality audit for new model or re-run models, with reference to BOM and ECN.
• Conduct critical material audit as per critical material check list.
• Contribute to NPI QA department improvement goals.
• Bachelor's Degree in Electrical, Electronics, Industrial, Mechanical Engineering or other related field.
• At least 1-2 years of working experience in quality field.
• Good command of both spoken and written English.
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