เงื่อนไขการค้นหา

ทักษะ:

Automation, Big Data, NoSQL, English

ประเภทงาน:

งานประจำ

• Develop data modeling pipelines that bridge the enterprise and the analytics data layers including scalable data marts and other automation tools to empower the Data Analytics capabilities.
• Develop other in-house analytics solutions for internal teams, including building simple web applications that take the analytics prototypes either to internal use by wider audiences or to enhance the core product platforms.
• Evaluate and implement Big Data ecosystems/infrastructures mainly for analytics purp ...
• Help improve front-end data tracking for the company s websites and mobile apps to better understand user behaviors.
• Facilitate some simple data queries/extraction that help business operations.
• Research for feasible data technologies that could be useful for the business.
• Collaborate and learn together by sharing findings with and provide guidance to other teams.
• Business Intelligence tools for data democratisation.
• Backend services development.
• Machine Learning engineering.
• A strong intent to help us strengthen data analytics products and solve business problems from the foundational stage using data engineering expertise.
• Significant experience in implementing ETL pipelines with large and complex data dependencies.
• Hands-on experience in Big Data engineering and some web development backgrounds.
• Proficiency in complex SQL and Python.
• Some technical knowledge in front-end data tracking for websites or mobile apps.
• Ability to understand business problems analytically, bounce ideas, and communicate technical progress.
• Intermediate fluency in English.
• ประกันสุขภาพ.
• ประกันสังคม.
• กองทุนสำรองเลี้ยงชีพ.
• เยี่ยมไข้ เยี่ยมคลอด.
• ของขวัญวันเกิดพนักงาน.
• ตรวจสุขภาพประจำปี.
• เงินช่วยเหลืองานมงคลสมรส.
• เงินช่วยเหลืองานศพ.
• การฝึกอบรมและพัฒนาพนักงาน.
• ค่าตอบแทนพิเศษ.
• โบนัสตามผลงาน / ผลประกอบการ.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ทักษะ:

SAP, Linux, Apache

ประเภทงาน:

งานประจำ

• Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
• Design Cloud solution architecture in response to the client s requirement.
• Provide advisory consulting service to the client regarding the True IDC Consulting practices.
• Create Cloud technical requirements to the client s migration plan.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
• Knowledge of Containerization administrative for both Windows and Linux technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Good in customer objective handling & Good in customer presentation skill.
• Nice to have.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate.
• GCP Certified Solution Architect - Associate.

ทักษะ:

Research, SQL, Statistics, English

ประเภทงาน:

งานประจำ

• Provide data-driven insights to improve decision making and identify business opportunities.
• Build and enhance various creditability scoring models.
• Evaluate performance for product experimentation.
• Help improve data collection for website and mobile apps to better understand user behaviors.
• Present findings to different types of audiences.
• Facilitate some simple data queries/extraction that help business operations.
• Research for better improvements in data analytics area.
• Some hands-on experience in crunching data to uncover insights by writing SQL,.
• Python, R scripts, and being familiar with spreadsheets.
• A passion to gain a deeper yet practical understanding of statistics.
• and econometrics techniques.
• Fair understanding of what drives the success of predictive model implementation.
• for subject creditability purpose.
• Some technical knowledge in data collection from websites or mobile apps.
• Ability to translate business problems into analytics questions, bounce ideas,.
• and communicate findings.
• Intermediate fluency in English.
• Machine Learning engineering.
• Operations Research (mathematical optimisation).
• Business Intelligence tools for data democratisation.
• Data visualisation development in web browser.
• NoSQL databases and Big Data platforms.
• Data Engineering and Software Engineering.
• ประกันสุขภาพ.
• ประกันสังคม.
• กองทุนสำรองเลี้ยงชีพ.
• เยี่ยมไข้ เยี่ยมคลอด.
• ของขวัญวันเกิดพนักงาน.
• ตรวจสุขภาพประจำปี.
• เงินช่วยเหลืองานมงคลสมรส.
• เงินช่วยเหลืองานศพ.
• การฝึกอบรมและพัฒนาพนักงาน.
• ค่าตอบแทนพิเศษ.
• โบนัสตามผลงาน / ผลประกอบการ.

ทักษะ:

Java, Spring Boot, Kubernetes

ประเภทงาน:

งานประจำ

• Work in an agile team to build/develop features and technologies across various aspects of the Java stack, primarily focused on Spring Boot and Spring Cloud/NetflixOSS.
• CI/CD deployments on a Kubernetes-based platform, both on-premises and on multi-cloud infrastructure. (AWS and GCP).
• Possess an understanding of cloud-native architectures and be familiar with implementations involving service discovery, circuit breakers, client-side load balancing, and other architectural patterns related to elastic infrastructure.
• Participate in, and help create a company culture that attracts, retains, and coaches other engineers. The primary deliverable of a senior engineer is more senior engineers.
• Conduct design and code reviews.
• Provide specific technical expertise to help drive innovation.
• Identify emerging technologies to create leading-edge banking products.
• Partnering with architects and platform engineers to build strategies for execution, drive and facilitate key decisions, and influence others, and lead change where appropriate.
• A positive, can-do attitude, who naturally expresses a high degree of empathy to others.
• Bachelor s Degree in Computer Science or equivalent work experience.
• Relevant work experience. Or 3+ years for senior position.
• Experience in building complex applications from scratch and decomposing monolithic applications into micro-services.
• Minimum of core Java 8, Spring Boot, Spring Cloud.
• Kubernetes (or Docker/ Mesos and equivalent).
• MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB).
• RabbitMQ, Kafka.
• AWS & GCP.
• API Gateway.
• Linux.
• CI/CD (Jenkins, Git).
• React.JS (Optional).
• Experience with distributed architectures, SOA, microservices, and Platform-as-a-service (PaaS).
• Experience with Agile and Test-Driven Development (TDD) methodologies.
• Experience with high availability, high-scale, and performance systems.
• Experience in Automation testing/ or Unit testing is a plus.
• Location: True Digital Park, Bangkok.

ทักษะ:

DevOps, Automation, Kubernetes

ประเภทงาน:

งานประจำ

• Managing 7-8 Professional Service Engineers in responsible for AWS cloud solution architecting and implementation/migration according to the project requirements.
• Team resources management.
• Acting as the key of Cloud technical aspect for the consulting team to provide the technical of AWS cloud consulting to customers.
• Design AWS Cloud solution architecture in response to the client s requirement.
• Define the scope of work & estimate mandays for cloud implementation.
• Managing cloud project delivery to meet the customer requirements timeline.
• Support AWS, GCP cloud partner competency building e.g. AWS Certification and delivery professional service process and documentation.
• Speaker of AWS technical side for True IDC webinar, online event for CloudTalk.
• Key Driving for building team competency expansion to meet the competency roadmap yearly strategy e.g. DevOps, IaC, Automation, Kubernetes, App modernization on AWS cloud.
• Experience in leading cloud AWS implementation and delivery team.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies for AWS, GCP is plus.
• Experience in infra as a code in cloud native (Cloud Formation) or other e.g. Terraform, Ansible implementation.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture to the Cloud.
• Knowledge of OS administrative for both Windows and UNIX technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Knowledge of Kubernetes, Containers and CI/CD, DevOps.
• Experience with RDBMS designing and implementing over the Cloud.
• Prior experience with application development on the various development solutions as Java,.Net, Python etc.
• Experience in,.Net and/or Spring Framework and RESTful web services.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate, Prefer Professional level.

ทักษะ:

Compliance, Automation

ประเภทงาน:

งานประจำ

• Collaborates with stakeholders to understand business requirements and translate them into scalable, secure, and cost-effective cloud solutions.
• Viewed as a trusted technical advisor to the client and ensure technical solutions will accomplish the client's objectives.
• Designs and architects less complex cloud-based systems, ensuring high availability, scalability, performance, and reliability.
• Provides pre-sales technical support and know-how in analyzing client requirements, in conjunction with the client s current collaboration capabilities.
• Assesses existing systems and develop migration strategies to transition on-premises applications and infrastructure to the cloud.
• Designs integration solutions to enable seamless data flow between cloud and on-premises environments.
• Defines and implements security best practices and compliance standards for cloud-based systems.
• Supports the development and maintain cloud governance frameworks, policies, and procedures.
• Provides support to development teams to ensure adherence to cloud architecture standards and best practices.
• Develops or produces the technical design document to match the solution design specifications.
• Working with the relevant internal stakeholders, participate in scope of work determination, product pricing and RFP/RFI responses.
• Assists with the determination of outsourcing, product pricing and collaborates with others to develop an implementation solution.
• Influences and guides members of the Sales team and to ensure that they are equipped to close deals and maintain visibility of forecasting and sales pipeline in order to influence potential deals.
• Manages client proof of concept (POC) initiatives, which will require the involvement of the appropriate resources, and setup and delivery of the POC.
• On all assigned engagements, owns the proposed solution and transitions the build / implementation to the delivery team.
• Serve as a subject matter expert on cloud technologies and architectures.
• Collaborate with cross-functional teams, including developers, operations, and project managers, to ensure alignment of technical solutions with business objectives.
• Specifically relating to opportunity pursuit this role will evaluate each opportunity for alignment with organizational capabilities and business policy, prepare the executive summary that outlines all of the information gathered from the client in regards to their needs, as understood, document the proposed technology solution, document the statement of work along with all labor requirements, work with the relevant internal stakeholders to prepare the pricing format that will be supplied to the customer, perform the actual solution design and prepare a parts list outlining equipment to be provided, develop and manage a proof-of-concept as such may be required, engage all technical resources required for an accurate solution design, prepare a network diagram outlining the proposed solution, document all deliverables and what constitutes a successful completion, review the final parts list as supplied and submit all information to the applicable bid team for final assembly, verify the proposal s accuracy and sign off on the final documents to be presented to the client, assist during the final presentation to the client as appropriate.
• Demonstrates good client engagement skills coupled with technical consulting aptitude.
• Understanding of the vendor s products business and technology positioning.
• Ability to collaborate and communicate effectively with team members, contributing to their success.
• Broad product knowledge integrated with technology understanding.
• Good knowledge of cloud architecture patterns, including microservices, serverless computing, containers, and hybrid cloud deployments.
• Proficiency in cloud infrastructure technologies, such as virtual machines, storage solutions, networking, and load balancing.
• In-depth understanding of cloud security principles, including identity and access management, encryption, and compliance frameworks.
• Familiarity with IaC tools and frameworks such as Terraform, AWS CloudFormation, Azure Resource Manager, or Google Cloud Deployment Manager.
• Understanding cloud design patterns, microservices, serverless computing, containers, and hybrid cloud deployments.
• Multi-faceted knowledge such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or other providers, understanding the specific services offered by each platform, including compute, storage, databases, networking, and security.
• Understanding of cloud networking concepts, including virtual networks, subnets, routing, load balancing, and firewall configurations.
• Knowledge of VPNs, VPC peering, and hybrid connectivity options between on-premises and cloud environments.
• Knowledge of identity and access management (IAM), encryption, data protection, secure network configurations, and compliance frameworks such as GDPR, HIPAA, or PCI-DSS.
• Proficiency in cloud storage solutions such as Amazon S3, Azure Blob Storage, or Google Cloud Storage.
• Understanding of different database options including relational databases (e.g., Amazon RDS, Azure SQL Database) and NoSQL databases for example, Amazon DynamoDB, Azure Cosmos DB).
• Knowledge of cloud monitoring and management tools such as AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring.
• Familiarity with DevOps principles and practices, including continuous integration and continuous deployment (CI/CD).
• Knowledge of integration technologies such as API gateways, messaging queues, and ETL (Extract, Transform, Load) processes Basic understanding of key vendor subscription models such as Cisco EA 3.0.
• Bachelor's degree in information technology, computer science or information systems or related field.
• Vendor product, sales and technology certifications.
• Relevant cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect or Google Cloud Certified - Professional Cloud Architect.
• Moderate level technical experience within a large scale (preferably multi-national) technology services environment.
• Moderate level experience as a Cloud Technical Architect or a similar role, designing and implementing cloud architectures for complex systems and applications.
• Moderate level experience in designing, implementing, and managing cloud-based solutions, preferably using leading cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Moderate level experience in project management methodologies.
• Moderate level experience with major cloud platforms.
• Moderate level experience with serverless computing platforms like AWS Lambda, Azure Functions, or Google Cloud Functions.
• Moderate level experience with automation and orchestration tools like Ansible, Chef, or Puppet to streamline the provisioning, configuration, and management of cloud resources.
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

ทักษะ:

Industry trends, Continuous Integration, Java

ประเภทงาน:

งานประจำ

• Design, develop, test, and deploy software applications and services.
• Collaborate with application architect, product managers, designers, and other engineers to deliver high-impact features.
• Develop clean, efficient, and maintainable code following best practices.
• Participate in code reviews, debugging, and performance optimization.
• Contribute to the improvement of development tools, processes, and infrastructure.
• Stay up-to-date with emerging technologies and industry trends.
• Ensure software quality through automated testing and continuous integration.
• Qualifications Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proficiency in one or more programming languages (e.g., Java, Python).
• Familiarity with RESTful APIs, databases (SQL/NoSQL), and version control systems (e.g., GitLab).
• Experience with web development frameworks and tools (e.g., React, Angular, Node.js, Django) is an advantage.
• Experience with AWS cloud native services is an advantage.
• Understanding of software development lifecycle and Agile methodologies.
• Strong problem-solving skills and attention to detail.
• Good communication and teamwork abilities.
• Career Stage: Associate London Stock Exchange Group (LSEG) Information: 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.