เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Compliance

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

ทักษะ:

SQL, Data Warehousing, ETL, English

ประเภทงาน:

งานประจำ

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

ทักษะ:

Cloud Computing, SAP, Linux

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:

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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Java, Python, Scrum

ประเภทงาน:

งานประจำ

• Engaging with product owners, architects, and other specialists you'll design world-class solutions to address our customer needs.
• Providing design recommendations, developing, and integrating programs per written specifications. Occasionally to frequently responsible for writing moderate to complex design specifications.
• Build and maintain efficient, reusable, reliable and secure code based on User Stories.
• Working within a multi-functional agile team, you'll develop enterprise software, adhering to company standards and established software methodology.
• Through participation in refinement and planning sessions, you'll work with other team members to analyze development requirements, provide design options and complexity estimates, and agree how to deliver the requirements.
• Translating business and technical requirements into detailed design specifications for application code and modules.
• Work closely with team members to set timeframes of the assigned User Stories and details milestones to meet customer and business needs.
• Demonstrating a consistent focus on your good quality of software deliverables through the creation and execution of automated tests using Agile/Scrum process.
• Identifies ways to improve the operation of own area and the team to achieve efficiencies and results.
• Provides technical support to operations or other development teams.
• Doing code review with junior staff to ensure the good quality of code and drive on test automation.
• Actively participating in Scrum meetings, you'll give timely status updates on areas for which you are responsible and call out issues/blockers of project.
• Identifies ways to improve the operation of own area and the team to achieve efficiencies and results.
• Required Skills Master/Bachelor s Degree in Computer Science, Computer Engineering or related discipline.
• 3+ years of experience working in software development or related fields.
• Strong skills and experience developing applications in Java and/or Python or other relevant languages.
• Solid technical background with understanding of programming styles, frameworks, design patterns and unit testing.
• Experience in at least one CSP (AWS, Azure, GCP) with a range of tooling (S3, Lambda, ECS, EC2 for example).
• Experience in at least one of Snowflake, BigQuery, Databricks, Apache Spark.
• At least two programming languages (Java, Python, Go,.NET/C#).
• Experience in relational databases (for example Postgres).
• Understanding of security implications and secure coding.
• Practical experience with agile development methodologies and tools (Scrum, JIRA etc.).
• Good communication skills, both verbal and written.
• Skill for writing clean, readable code and reusable components.
• Experience with Test Driven Development and / or Behavior Driven Development.
• Desired Skills Practical experience with cloud-native application development, preferably AWS.
• Experience on the following technologies: AWS (EC2, ECS/EKS, S3, Lambda, IAM, API Gateway etc.),cloud database technologies (AWS RDS, DynamoDB, Aurora, Postgres, Azure SQL, etc.), and cloud streaming service ( KDA, Kinesis, SQS).
• Go/Rust.
• Docker.
• Experience in Snowflake.
• Experience in Databricks.
• Experience in Apache Spark.
• Experience in BigQuery.
• Experience with Microsoft Azure.
• Experience in SQL database, Nosql database, JSON document.
• Experience in Elasticsearch / Opensearch.
• Kubernetes.
• 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. 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. 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.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams.
• Translate business requirements to technical solutions leveraging strong business acumen.
• Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Provide architectural expertise to sales, project and other analytics teams.
• Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions.
• Provide solution oversight to delivery architects and teams.
• Skills and attributes for success.
• 6-8 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to estimate complexity, effort and cost.
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
• Integrate data from different sources, such as databases, APIs, and third-party applications, ensuring data consistency and accuracy.
• Create and maintain data models and schemas to facilitate data storage and retrieval, following best practices for data warehousing and database management.
• Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
• Optimize data pipelines and systems for performance, scalability, and efficiency, making sure data processing meets business requirements.
• Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Document data engineering processes, data lineage, and system architecture to facilitate knowledge sharing and future maintenance.
• Set up monitoring and alerting systems to detect and address issues with data pipelines and systems proactively.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide the necessary infrastructure and support.
• Stay up-to-date with the latest data engineering technologies and tools, and evaluate their applicability to the organization's data stack.
• Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.
• Strong proficiency in data engineering tools and technologies, such as SQL, ETL frameworks (e.g., Apache Spark, Apache Airflow, Apache Beam).
• Experience with Google BigQuery for data warehousing.
• Experience with Google Cloud Dataflow or Dataproc.
• Experience with programming languages like Python, Java, or Scala.
• Experience with building streaming data pipelines on Google Cloud.
• Knowledge of database design, data modeling, and data integration techniques.
• Familiarity with data governance, data security, and compliance standards.
• Problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

ประเภทงาน:

งานประจำ

• ออกแบบระบบเกี่ยวกับ cloud computing, DR site, remote site.
• บริหารจัดการระบบเครือข่ายม linux, windows server บนระบบ cloud.
• อัตรา: 2 ตำแหน่งเงินเดือน: ไม่ระบุ บาทสถานที่ปฏิบัติงาน: แขวงทุ่งพญาไท เขตราชเทวี จังหวัดกรุงเทพมหานคร จังหวัด: กรุงเทพมหานครเขต: พญาไท, ราชเทวี, สานเสนใน, ดินแดงคุณสมบัติผู้สมัครงาน: 1. ปริญญาตรี IT, computer science, Computer engineering หรือสาขาที่เกี่ยวข้อง
• อายุไม่เกิน 28 ปี
• ชอบ และหลงไหลงานเกี่ยวกับ system admin บน Linux หรือ Windows
• มีความรู้ในการติดตั้ง Linux หรือ Windows server
• เคยคิดตั้ง system software ต่าง ๆ เช่น Apache, DNS, mySQL, Firewall, etc.
• สามารถเขียน script language ได้เช่น shell script, Python, PHP, etc.
• ชอบศึกษาเทคโนโลยีใหม่ ๆ อยู่ตลอดเวลา เช่น cloud computing
• มีความรู้เกี่ยวกับ cloud computing บน Linux หรือ Windows server
• ดำเนินกิจการพัฒนาซอฟท์แวร์ และธุรกิจออนไลน์
• มีธุรกิจ 3 กลุ่มธุรกิจ
• พัฒนาซอฟท์แวร์
• บริการเว็บสำเร็จรูป ร้านค้าออนไลน์
• บริการ SMS ครบวงจร สวัสดิการ:ฝึกอบรมเพิ่มทักษะในวิชาชีพ.
• เงินเดือน.
• โบนัส.
• เบี้ยขยัน.
• ประกันสังคม.
• วันหยุดพักผ่อนประจำปี.
• สัมนาประจำปี.
• ปรับอัตราเงินเดือนประจำปี.
• วิธีการสมัครงาน: เขียนใบสมัครด้วยตัวเองแล้วส่งอีเมล์
• ใบสมัครของผู้ที่ผ่านการพิจารณาแล้วเท่านั้น ที่จะได้รับการติดต่อสัมภาษณ์งานที่บริษัทฯ
• ไม่รับสมัครงานในรูปแบบ walk-in ติดต่อ: Human Resources DepartmentPIESOFT Company Limited.
• 128/21/1 ชั้น 3 อาคารพญาไทพลาซ่า ถนนพญาไท แขวงทุ่งพญาไท เขตราชเทวี กรุงเทพมหานคร 10400

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ประเภทงาน:

งานประจำ

• คุณจะได้ใช้ความสามารถในเรื่อง Linux, network and security และความสามารถในการเขียน script เพื่อเชื่อมโยงการทำงาน หรือการเขียน software เพื่อทดสอบ load การใช้งานอัตรา: 2 ตำแหน่งเงินเดือน: ตามความสามารถ บาทสถานที่ปฏิบัติงาน: แขวงทุ่งพญาไท เขตราชเทวี จังหวัดกรุงเทพมหานคร จังหวัด: กรุงเทพมหานครเขต: พญาไท, ราชเทวี, สานเสนใน, ดินแดงคุณสมบัติผู้สมัครงาน: 1. มีความรู้พื้นฐานเกี่ยวกับ Linux / Unix และสามารถใช้งาน Command Line ได้เป็นอย่างดี และสามารถเขียนภาษา script ได้เช่น SHELL, Python เป็นต้น
• สามารถใช้งาน Version Control ได้เป็นอย่างดี (Github, Bitbucket) และมีความรู้เกี่ยวกั ...
• มีความสามารถในการใช้ Tool เพื่อการ Automated Deploy เช่น Wecker
• มีความเข้าใจในการพัฒนา Application ให้รองรับการขยายตัวในอนาคต (scalability)
• มีความเข้าใจเกี่ยวกับเทคโนโลยี NoSQL เช่น MongoDB, Apache Cassandra, Coursebase
• รู้จัก และเคยใช้งาน Docker
• รู้จักและเคยทำงานกับข้อมูลขนาดใหญ่ Big Data (Hadoop)
• มีความรู้เกี่ยวกับระบบ Clustering
• มีความเข้าใจในเทคโนโลยี Cloud Computing
• ดำเนินกิจการพัฒนาซอฟท์แวร์ และธุรกิจออนไลน์
• มีธุรกิจ 3 กลุ่มธุรกิจ
• พัฒนาซอฟท์แวร์
• บริการเว็บสำเร็จรูป ร้านค้าออนไลน์
• บริการ SMS ครบวงจร สวัสดิการ:ฝึกอบรมเพิ่มทักษะในวิชาชีพ.
• เงินเดือน.
• โบนัส.
• เบี้ยขยัน.
• ประกันสังคม.
• วันหยุดพักผ่อนประจำปี.
• สัมนาประจำปี.
• ปรับอัตราเงินเดือนประจำปี.
• วิธีการสมัครงาน: เขียนใบสมัครด้วยตัวเองแล้วส่งอีเมล์
• ใบสมัครของผู้ที่ผ่านการพิจารณาแล้วเท่านั้น ที่จะได้รับการติดต่อสัมภาษณ์งานที่บริษัทฯ
• ไม่รับสมัครงานในรูปแบบ walk-in ติดต่อ: Human Resources DepartmentPIESOFT Company Limited.
• 128/21/1 ชั้น 3 อาคารพญาไทพลาซ่า ถนนพญาไท แขวงทุ่งพญาไท เขตราชเทวี กรุงเทพมหานคร 10400

ทักษะ:

Compliance, Research, Automation

ประเภทงาน:

งานประจำ

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Java, Spring Boot, Thai, English

ประเภทงาน:

งานประจำ

• Responsible for the detail solution design of required solution aligning with Technology Solution Lead, Senior BA/BA and all Partner team and managing the deliverable of detail technical specification by respective team resources ensuring the quality of deliverable meet the expected requirement.
• Coordinate with BU/SU to gather requirement and design application architecture aligned with IT Blueprint as well as business needs and directions.
• Manage resources to provide the related service including adaptation on application ...
• Application Solution Delivery.
• Leading the deliverable of application solution with well design architecture and aligned with standard in IT Blueprint.
• Manage resources to apply the proper technology in developing valued added solution to serve business needs.
• Manage resources to deliver automated and fully integrated solution for end to end work process.
• Bachelor's degree or higher in Information Technology, Computer Science, or other related fields.
• At least 5 years of experience in core Java fundamentals, Java 8+, Spring, Spring Boot, and testing frameworks like JMeter.
• Experience in Application Architecture and System Integration using technologies such as Unix, Linux, Apache, JBoss, SQL databases, MQ, Redis.
• Hands-on experience with Next.js, React, Java Spring Boot, Bootstrap, and Tailwind.
• Familiarity with message queues (MQ) and Redis, along with experience using automation tools, Git control, and support tools.
• CI/CD implementation experience from scratch, using tools like GitHub, GitLab, Bitbucket, and Jenkins.
• Experience with Jboss, Openshift, Docker, and Firebase messaging services.
• Experience in network and security, including resolving firewall connection issues, addressing integration challenges, load balancing, and disaster recovery planning.
• Experience developing Unix Shell Scripting, SQL, Java, and Python from scratch.
• Experience in application and database design.
• Experience in Production Support Management, including Incident and Problem Management.
• Knowledge of banking products or Banking and the financial industry would be advantageous.

ทักษะ:

Docker, Automation, Software Development

ประเภทงาน:

งานประจำ

• System Architecture Design: Develop and implement scalable and efficient system architectures on Premise, K8s, Docker and on Cloud AWS.
• Automation: Create and manage CI/CD pipelines to automate software development and deployment processes with Bitbucket, GitHub, ArgoCD or Other.
• Monitoring and Maintenance: Monitor system performance and ensure system reliability and availability with Observability tools.
• Infrastructure Management: Manage and optimize cloud infrastructure to reduce costs and enhance performance.
• Collaboration: Work closely with development and operations teams to streamline workflows and improve productivity.
• Security: Implement and maintain security best practices to protect systems and data.
• Troubleshooting: Identify and resolve system issues promptly to minimize downtime.
• Documentation: Maintain comprehensive documentation of system configurations and procedures.
• Continuous Improvement: Continuously evaluate and improve system performance and processes.
• Disaster Recovery: Develop and test disaster recovery plans to ensure business continuity.
• Bachelor s degree in computer science, Computer Engineering, IT or a related technical field with appropriate experience.
• 2+ years experience in DevOps engineer or similar.
• Experience with installation Docker and K8s on Premise (Must all 1st).
• Experience with Cloud Provider: AWS, GCP, Azure.
• Experience with Orchestration Tool: Kubernetes on Premise and on Cloud.
• Experience with DevOps practices like automated provisioning/deployments, infrastructure as code using tools ie.Terraform, Ansible.(Optional).
• Experienced with automation CI/CD tools ie. Jenkins, GitHub action, GitLab CI or Bitbucket.(Must 2nd).
• Experience with Logging tools ie. ElasticSearch, Logstash, Kibana. (Must 3rd).
• Experience with Monitoring tools ie. Prometheus, Grafana. (Must 3rd).
• Experience with GitOps tools ie. ArgoCD.
• Experience with API Gateway ie. Kong.
• Experience administering application servers, web servers, and databases ie. Apache, Tomcat, Nginx, MongoDB, MySQL, etc.
• Work Location: BTS Phloen Chit.

ทักษะ:

Big Data, ETL, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• 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. .