เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• Launch your career in Technology by contributing to live projects with leading technology, collaborating with and being mentored by world class talent.
• Progress through a 12-month development journey aiming to build foundational skills that are key for your future success.
• Participate in group projects which are aligned to LSEG s sustainability priorities.
• Access opportunities to earn industry recognized qualifications.
• Connect with global early careers community and opportunities and contribute to wider society via CSR initiatives and volunteering opportunities.
• Our graduates join us on a permanent basis, and from day one you will be aligned to a division, which will allow you to develop within a secure framework. During the recruitment process we will get to know your skills and interest and how they align to the needs of the business, to allow us to place you in the right division. What we are looking for: We are passionate about recruiting people who have a genuine curiosity about Technology and strive to pursue a Technology career path, as evidenced by their studies, extracurriculars or work experience. It s important to us that you can also understand the breadth of our organisation, how it functions and the vital role that technology plays in supporting LSEG and our clients. You will have a strong interest in technology proven either via your work experience, extracurricular activities, or academic studies. For instance, you may have secured an internship in a technology role or focused on technology as part of a university project. You may have learnt how to code or how to use a particular technology.
• You should have a demonstrable interest in financial markets, which you ve built through your studies, work experience or extracurricular activities.
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
• Individuals who can connect the dots and think strategically.
• The environment we work in is fast paced, you ll need to demonstrate focus, resilience and the flexibility to adapt to changing demands.
• People who can collaborate with others, using their communication skills in the process.
• Ideal candidates will have the rights to work in the Romania without restrictions.
• We are considering candidates beyond the core software degrees (e.g. computer science, software engineering, Mathematics and Informatics) and candidate with physics, engineering, electronic degree who can demonstrate an interest in Technology as evidenced by extracurriculars or work experience, or personal projects can apply.
• Application close: 28th November, however we recommend an early application because we consider candidates on a rolling basis. Due to the volume of applications, we might close the applications earlier, so we recommend an early application. Recruitment Process: The first stage of the recruitment process involves making an application and submitting your resume.
• The next stage of the application process is an untimed Immersive Online Assessment. The assessment is designed to give you an insight into what it s like to work at LSEG.
• The third stage is a video interview where you will answer a series of questions using a strength-based-interview style.
• The final stage is a half day assessment centre which involves several different types of exercises - further information is provided at the point of invite.
• Please review all the graduate programme opportunities and make one application If you make more than one application, we will review your first application only. Please note, all our assessment centres are held virtually
• Life at LSEG At LSEG, we provide our employees with a comprehensive benefits portfolio as part of a competitive total rewards package. Our benefit plans are designed to supplement the financial, emotional and physical wellbeing of our employees and their families at all stages of their life. We encourage an appreciative, collaborative and inclusive culture that promotes employee and organisational wellbeing. We believe hybrid working makes more possible and recognise difference as a good thing. We want to set everyone up to bring their best self to work. Everyone will spend time with colleagues in the office, but you ll be trusted to work flexibly, in a way that delivers excellence. Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ทักษะ:

Power BI, Python, SQL

ประเภทงาน:

งานประจำ

• Power BI, Python, SQL Query.
• Experienced in managing Big Data - 10 million+ Rows.
• Experienced in FMCG is preferrable.
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis) โดยการเก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีม.
• ตำแหน่งงานนี้จำเป็นต้องผ่านการตรวจสอบประวัติอาชญากรรมตามหลักเกณฑ์ที่บริษัทกำหนด ***.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Python, SQL, Database Administration, English, Thai

ประเภทงาน:

งานประจำ

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Power BI, SQL, Python

ประเภทงาน:

งานประจำ

• Administer and monitor Azure-based data services, including Azure Databricks, Azure Blob Storage, and Power BI.
• Manage and support Databricks workspaces, clusters, and user access.
• Implement and enforce security best practices across data platforms.
• Monitor system performance and perform tuning and troubleshooting as needed.
• Assist in setting up and maintaining CI/CD pipelines for data workflows.
• Collaborate with cross-functional teams to ensure data platform reliability, scalability, and availability.
• Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 1-2 years of experience in a Data Engineer, System Administrator, or similar role.
• Strong proficiency in SQL, Python, PowerShell, and Bash scripting.
• Familiarity with cloud data platforms such as Azure, AWS, GCP, and Databricks.
• Solid understanding of data engineering concepts and cloud infrastructure.
• Experience with Azure DevOps or other CI/CD tools.
• Experience with Infrastructure as Code tools such as Terraform is a plus.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.

ทักษะ:

Research, Python, TensorFlow

ประเภทงาน:

งานประจำ

• Design and develop state-of-the-art AI models and algorithms to solve complex business challenges.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and optimize AI systems to ensure high performance, scalability, and reliability.
• Continuously research and stay up-to-date with the latest advancements in AI and machine learning.
• Mentor and guide junior team members, sharing your expertise to drive team growth and development.
• Work closely with the business to identify new opportunities for AI-driven innovation.
• 8+ years of experience in software engineering, with a strong focus on AI and machine learning.
• Proficient in Python, TensorFlow, PyTorch, or other popular AI/ML frameworks.
• Solid understanding of AI algorithms, neural networks, and deep learning techniques.
• Experience in designing and implementing scalable, production-ready AI solutions.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication skills to effectively collaborate with cross-functional teams.
• A passion for staying up-to-date with the latest AI advancements and technologies.

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Validate enterprise network & services across Bangkok and regional areas, ensuring resource availability and service readiness.
• Design end-to-end network solutions and produce High-Level Design (HLD) and Low-Level Design (LLD) documentation.
• Assess and plan network resources to support enterprise service deployment and scalability.
• Collaborate with enterprise product and technical consultant teams on solution design and integration.
• Conduct Proof of Concept (POC) activities, including testing and validating proposed network solutions.
• Support equipment evaluation and approval processes to ensure technical compliance and performance.
• Provide technical recommendations and contribute to continuous improvement of network architecture and service delivery.
• Bachelor s degree in Computer Engineering, Telecommunications, or a related field.
• Minimum of 5 years experience in network engineering, preferably in an enterprise or telecom environment.
• Strong knowledge of network design principles, including routing, switching, and security.
• Proven experience in creating HLD and LLD documentation.
• Familiarity with enterprise-grade networking equipment (e.g., Cisco, Juniper, Huawei).
• Excellent communication and collaboration skills.
• Programming skills in Python, SQL are an advantage.

ทักษะ:

Excel, Python

ประเภทงาน:

งานประจำ

• Maintain and adjust parameters to optimize stock availability / stock level during normal / month end and promotion periods by analyzing on store sales historical data.
• Investigate and identify root cause of overstocking and OOS at store/DC.
• Monitoring of target stocks on normal/seasonal period to suit with business sale target.
• Adjust daily sales in systems to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI dashboard to monitor sales performance vs suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathemetics and other relate filed.
• Have experience in Data Analyst, Inventory Planning, Promotion Planning & Allocation 2-5 Years.
• Excellent for Excel (Pivot, Vlookup), Python, Powert BI.
• Good Analytic skills.

ทักษะ:

node.js, Golang, Python

ประเภทงาน:

งานประจำ

• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• Work closely with product managers to understand user needs and deliver impactful features.
• Experiment with new tools, frameworks, and methodologies to discover innovative solutions.
• Optimize services for performance, scalability, and maintainability.
• Develop intuitive user interfaces using frameworks like React (Next.js) and Svelte (SvelteKit).
• Build and maintain robust backend services with Node.js, Golang, Elixir, or Python.
• Contribute to mobile app development using Flutter.
• Ensure infrastructure stability and scalability using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Take a proactive role in code reviews, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit and integration tests.
• Collaborate with cross-functional teams to integrate new tools and technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems like PostgreSQL.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• A passion for turning our vision into reality and contributing to its success.
• An eye for design and a passion for user-centric product development.
• A deep understanding of product success metrics and a drive to contribute to them.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to make an impact.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

ทักษะ:

Excel, Python

ประเภทงาน:

งานประจำ

• Create, develop, and monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability / stock level during normal / month end and promotion periods.
• Investigate and identify root cause of overstocking and OOS at store/DC.
• Monitoring of target stocks on normal/seasonal period to suit with business sale target.
• Adjust daily sales in systems to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI dashboard to monitor sales performance vs suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathemetics and other relate filed.
• Have experience in Inventory Planning, Promotion Planning & Allocation 2-5 Years.
• Excellent for Excel (Pivot, Vlookup), Python, Powert BI.
• Good Analytic skills.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Python, Automation, English

ประเภทงาน:

งานประจำ

• Developing data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Collaborate with stakeholders to prepare, process, and validate data for business needs.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field.
• 1-3 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
• Experience in project & stakeholder management responsibilities.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented and enjoy building from the ground up.
• Fresh Graduates are welcome.

ทักษะ:

Statistics, Python, TensorFlow, English

ประเภทงาน:

งานประจำ

• Design, build, and scale AI and GenAI features within Manatals recruitment platform.
• Lead the development of: AI agents for candidate screening and communication.
• Semantic search and matching engines.
• Resume parsing in multiple languages.
• Generative tools for resume/job summarization, enrichment, and candidate sourcing.
• Natural language interfaces using LLMs (e.g., OpenAI, Claude, Mistral).
• Own end-to-end ML and GenAI workflows: data preparation, model training/fine-tuning, evaluation, and production deployment.
• Continuously evaluate and optimize models for accuracy, latency, and cost.
• Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI features.
• Stay up-to-date with the latest research, tools, and APIs in AI and GenAI and bring innovative ideas into the product.
• Help define best practices for safe, efficient, and reliable deployment of AI/GenAI systems in production.
• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• Proven experience as a software engineer, with ownership of features deployed in production environments.
• Solid understanding of the full software development lifecycle, including CI/CD, monitoring, and observability in high-load systems.
• Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch.
• Experience working with LLMs (e.g., OpenAI, Claude, Mistral) and frameworks for GenAI development (LangChain, PromptLayer, etc.).
• Solid grounding in machine learning algorithms supervised, unsupervised, and deep learning.
• Experience with experiment design, model evaluation, A/B testing, and metrics-driven development.
• Proficiency in SQL and working with large datasets (data cleaning, feature engineering, etc.).
• Good knowledge of cloud infrastructure, especially AWS (e.g., S3, EC2, Lambda).
• Familiarity with containerization and orchestration tools (e.g., Docker, ECS, Kubernetes).
• Strong understanding of modern web application architectures and APIs.
• Excellent communication skills and ability to work cross-functionally.
• Experience in a B2B SaaS environment is a strong plus.
• Bonus: exposure to MLOps practices (model versioning, monitoring, retraining pipelines).
• Working with Manatal.
• This role is based at our Bangkok office in the heart of the city center.
• As a team of diverse cultures and nationalities, English language proficiency is required.
• We enjoy collaborating in person and the team is working on-site.
• Why you'll enjoy working with Manatal.
• Well-funded start-up backed by Surge & Sequoia.
• Be part of one of the fastest-growing B2B SaaS start-ups in the region.
• You will be collaborating with talented individuals in the industry.
• Join a lively and highly international team.
• Indulge in a challenging and innovative working culture.
• Attractive medical healthcare plan.
• Personal development allowance.
• 2 weeks of work from anywhere per year.
• Regular fun team-building activities.
• Company trip.
• Our Tech Stack.
• Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack.
• Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions.
• Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ among others.
• Frontend: Javascript & Vue.JS.
• Apply on our Careers Page
• If you are a fit for this role and excited to join Manatal, please follow this link to apply https://www.careers-page.com/m.
• Watch our Demo
• https://www.youtube.com/watch?v=-GG1GqXkAKQ
• https://www.youtube.com/watch?v=VjinpYMUMoc.
• Manatal Hiring
• At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process.
• We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full pot ...
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!
• Design and optimize data pipelines and ETL/ELT workflows using Databricks and Apache Spark.
• Build and maintain data models and data lakes to support analytics and reporting.
• Develop reusable Python code for transformation, orchestration, and automation.
• Implement and tune complex PySpark and SQL queries for large-scale data processing.
• Collaborate with Data Scientists, Analysts, and Business Units to deliver scalable solutions.
• Ensure data quality, governance, and metadata management across projects.
• Manage Azure cloud services for data infrastructure and deployment.
• Support daily operations and performance of the Databricks platform.
• ABOUT YOU
• 3+ years of experiences in Data Engineering.
• Experience with Databricks, Unity Catalog, Apache Spark, and distributed data processing.
• Strong proficiency in Python, PySpark, SQL.
• Knowledge of data warehousing concepts, data modeling, and performance optimization.
• Experience with Azure cloud data platforms (e.g., Azure Synapse).
• Familiarity with CI/CD and version control (Git, BitBucket).
• Understanding of real-time data streaming and tools such as Qlik for replication.
• Academic background: Bachelor's or Master's in Computer Science, Engineering, or related field.
• Fluent English. Another language is a plus.
• You have excellent problem-solving skills and can work independently as well as in a team.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Kubernetes, Software Development, Python

ประเภทงาน:

งานประจำ

• Develop terraform for infrastructure provisioning.
• Configure and manage Kubernetes clusters to support containerized applications in production.
• Configure logging, monitoring, security polices and network policies for Kubernetes.
• Configure Istio Ingress and MTLS.
• Troubleshoot Kubernetes related error, including application and tools.
• Provide support to development teams in automating and optimizing their development processes.
• Participate in Agile ceremonies, including sprint planning, daily stand-ups, and sprint reviews.
• Essential Qualifications: Minimum of 5 years of experience as a Platform Engineer.
• Proficiency in cloud provisioning with IAC, preferably terraform.
• Experience working with container orchestration tools, preferably Kubernetes.
• Experience working with tools for Kubernetes, such as logging, monitoring, network policy, security policy.
• Experience in service mesh, preferably Istio.
• Experience on applying best practise on Kubernetes.
• Knowledge of application and cloud security scanning tools.
• Understanding of software development practices, including Agile methodologies.
• Strong scripting skills, preferably in Shell, Python, or Groovy.
• Experience with version control systems such as Git.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It s yours to build.
• EY | Building a better working world
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

ทักษะ:

Research, Python, SQL, English

ประเภทงาน:

งานประจำ

• Generate insights and provide actionable recommendations by applying statistical and machine learning methods to large and complex datasets.
• Solve complex technical and business problems using advanced analytical methods.
• Work with engineering teams to implement end-to-end processes, from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capabilities.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or another highly quantitative field.
• Experience with statistical programming languages (e.g., Python, R, Pandas) and database software (e.g., SQL, PySpark).
• Knowledge of statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical and problem-solving skills.
• Preferred Qualifications Master s or Ph.D. degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Strong coding skills or a software development background.
• Ability to think independently and communicate complex ideas to non-technical stakeholders.
• Excellent command of English, both verbal and written.
• 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.

ทักษะ:

Power BI, SQL, Python

ประเภทงาน:

งานประจำ

• Demonstrate an analytical mindset by effectively interpreting data and creating basic data models to inform strategic decisions.
• Apply business thinking to understand how marketing initiatives drive revenue and profitability, using case studies as reference points.
• Utilize hands-on experience with analytical technologies (e.g., Power BI, KNIME, SQL, Python) to develop and present insights.
• Exhibit excellent verbal and written communication skills, presenting complex data findings clearly to various stakeholders.
• Identify and recommend key business drivers through KBD modeling and shopper insights analysis, contributing to the overall success of the category.
• Job Responsibilities Mine shopper insights to understand in-store shopping behaviors, identifying trial drivers and factors that influence purchase decisions.
• Define top Key Business Drivers (KBD) through modeling for CVS/MM customers and categories, ensuring alignment with business objectives.
• Identify pricing and promotional opportunities to optimize trade spend and enhance category performance.
• Reinvent go-to-market (GTM) activity systems, including assortment, margin, and display quantity, tailored to specific channels and customers.
• Collaborate with cross-functional teams to implement insights and monitor their effectiveness in real-time.
• Role Requirements Bachelor's or Master's degree in Business, Information Technology, Engineering, or other related fields.
• Must have an analytical mindset with experience in data interpretation, basic data modeling, and proxy data thinking.
• Strong understanding of business principles, particularly how businesses generate revenue, supported by case study analysis.
• Hands-on experience with at least two analytical technologies, such as Power BI, KNIME, SQL, Python, or other programming languages.
• Excellent verbal and written communication skills, capable of conveying complex data insights to diverse audiences.
• About us We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always , Ariel , Gillette , Head & Shoulders , Herbal Essences , Oral-B , Pampers , Pantene , Tampax and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Automation, Python

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

ทักษะ:

Java, Python, Javascript

ประเภทงาน:

งานประจำ

• Bachelor s degree or equivalent practical experience.
• Experience in either system design or reading code (e.g., Java, C++, Python, etc.).
• Experience troubleshooting technical issues for internal/external partners or customers.
• Experience with the advertising industry and technologies.
• Experience in project/program management to manage multiple projects at the same time.
• Experience in an Industry Vertical with knowledge of trends and business tests related to digital.
• Experience in building proof of concepts using web/scripting technologies (e.g., JavaScript, PHP, Python) and SQL databases.
• Ability to understand technical concepts and communicate them to a non-technical audience.
• Excellent collaboration skills with business teams, solution engineers, etc.
• gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
• Google creates products and services that make the world a better place, and gTech s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
• To learn more about gTech, check out our video.
• Engage with external clients and internal sales stakeholders to identify customer business objectives and marketing objectives through a consultative approach.
• Lead client meetings to explore opportunities for Joint Technical Plans, Digital Growth Packages and Standalone Solutions which help our customers achieve their business objectives.
• Develop expertise in Google Advertising Products and Customer Infrastructure to be able to architect technical solutions to meet customer needs.
• Lead multi-quarter technical projects by collaborating closely with cross-functional internal and external teams (technical and non-technical team members).
• Discover media activation opportunities arising from implementation of technical solutions. Build trusted technical advisory relationship with customers and internal sales stakeholders.
• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Research, Product Design, Python, English

ประเภทงาน:

งานประจำ

• Work independently to develop technical solutions without assistance in a limited number of technical fields supporting common segments/technologies. May also solve complex problems in cooperation with a team of other engineers.
• Attend and interact in technical customer meetings.
• Provide high level test hardware and software solution architecture.
• Review equipment data sheets and select appropriate equipment based on requirements.
• Support creation of structural or functional test strategy and test plan to meet project goals and requirements.
• Support creation of technical proposals with costed BOM and hours estimates.
• Ability to research and comprehend relevant product technologies and skills associated with product technologies.
• Develop production test strategies based on product design specification.
• Design and develop test solutions including hardware & software elements and then system integration, qualification, and installation to meet product, quality and test requirements outlined in the test plan.
• Debug of tester issues using design of experiments, tools, and failure analysis methodologies.
• Execute all validation/qualification requirements by applying statistical and common industry methods.
• Stabilization of Test Solutions for manufacturing working to optimize with process teams focussing on cycle time and yield.
• Test developers may also work with product design teams with feedback from product testability, test coverage, diagnosability, reparability, firmware/diagnostics and user experience.
• Keep up to date with relevant industry knowledge and regulations.
• Knowledge/Skills/Competencies.
• Strong knowledge on test development (SW and Test fixtures).
• Proven strong knowledge on test programming development (Python, Labview / Test Stand).
• Familiarity with Altium Designer and PCB fabrication.
• Knowledge on fixtures design, setup/integration.
• Good verbal, and written communication skills both Thai and English.
• Must have experience with disciplined operations..
• Must have experience working with and coordinating well with multiple intercompany organizations..
• Typical Experience.
• Minimum of 3+ years of experience Structural and Functional Test development / support for electronic / automotive industry.
• Typical Education.
• Engineering Degree in Electronics or equivalent.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

ทักษะ:

ISO 27001, Python, PowerShell

ประเภทงาน:

งานประจำ

• Bachelor's degree in Computer Science, Information Security, or a related field.
• 5 years of experience in IT security and governance.
• Strong understanding of IT security principles, practices, and technologies.
• Knowledge of relevant security standards and regulations (e.g., ISO 27001, NIST, GDPR, HIPAA, PCI DSS).
• Experience with risk assessment and vulnerability management.
• Experience with security incident response and management.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team..
• Relevant certifications (e.g., CISSP, CISM, CISA, Security+).
• Experience with cloud security (AWS, Azure, GCP) and On-Premises.
• Experience with security information and event management (SIEM) systems.
• Experience with scripting languages (e.g., Python, PowerShell).
• Experience with penetration testing.
• Ability to maintain confidentiality and handle sensitive information.
• Ability to adapt to changing technologies and security threats.
• Strong attention to detail and organizational skills.
• Ability to create and maintain clear and concise documentation..
• โบนัสประจำปี.
• ลาพักร้อน เมื่อพ้นทดลองงาน.
• ลา Workcation.
• กองทุนสำรองเลี้ยงชีพ.
• ประกันสังคม / ประกันสุขภาพ / ประกันชีวิต / ประกันอุบัติเหตุ.
• วันหยุดตามกฏหมาย (ไม่น้อยกว่า 13วัน).
• ลาหยุดในเดือนเกิด.
• ตรวจสุขภาพประจำปี.
• เงินช่วยเหลือสมรส.
• สิทธิคุณพ่อลาเลี้ยงบุตร.
• เงินช่วยเหลือฌาปนกิจ.
• Co working Space.
• ฟิตเนต.
• Point แลกของรางวัล.
• บริการปรึกษานักจิตวิทยาออนไลน์..
• การเดินทาง.
• BTS: สถานีหมอชิต, ห้าแยกลาดพร้าว.
• MRT: สถานีพหลโยธิน.
• บริการเรียกรถผ่าน App MuvMi..
• ติดตามข่าวสารจาก SC ASSET ได้ที่.
• http://insidesc.scasset.com/..