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āļŠāļĄāļąāļāļĢāļāļēāļāđāļāļāļĩāļŦāļĢāļ·āļāđāļāļĢāđāļāļĢāļĄāđāļĄāļāļĢāđāļāļąāļāļāļĢāļīāļĐāļąāļāļāļąāļāļāļģāļāļąāđāļ§āđāļāļĒāļāđāļēāļ WorkVenture āđāļāļĩāļĒāļāļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāļāđāļēāļĒāđ āļ§āļąāļāļāļĩāđ
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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
YouTube, TypeScript, node.js
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Department: Information Technology.
- Company: āļāļĢāļīāļĐāļąāļ āļāļĩāđāļāđāļĄāđāļāđāļĄ āļĄāļīāļ§āļŠāļīāļ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ).
- Develop systems that help us manage and deliver music, music videos, clips, and content to platforms like YouTube, TikTok, and Meta.
- Help improve tools like our Content Management System (CMS) and Content Dispatcher that support the day-to-day work of our content team.
- Fix bugs, find root causes, and work with others to prevent the same issue from happening again. Your solutions will keep our content flowing smoothly.
- Integrate with 3rd-party APIs to support metadata ingestion, content upload, scheduling, and status monitoring.
- Join our team in both Agile and project-based workflows, depending on what fits best. You ll take ownership of features and collaborate closely to make them happen.
- Help design how our systems work behind the scenes collaborating with specialists to create scalable and efficient solutions.
- Create scripts and pipelines (CI/CD) that automate testing and deployments, ensuring our apps are always fast and reliable..
- 3-5 years of experience in full stack or backend development, with the ability to build frontend features.
- Strong in JavaScript/TypeScript; experience with Node.js is required, and familiarity with Next.js and NestJS is a plus.
- Familiar with PostgreSQL, MongoDB, and API testing tools like Postman.
- Hands-on with Git, Docker, and CI/CD tools (e.g., GitLab CI, GitHub Actions, or Jenkins).
- Confident in debugging and building across both frontend and backend systems.
- Able to work onsite 5 days a week (Flexible working hours)..
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 3 āļāļĩāļāļķāđāļāđāļ.
- āļāļģāļāļ§āļ 1 āļāļąāļāļĢāļē.
āļāļąāļāļĐāļ°:
Compliance, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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 3 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.
āļāļąāļāļĐāļ°:
SAP, Java, XML
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and implement integration scenarios using SAP PI/PO (dual-stack and single-stack).
- Develop and maintain interfaces using SOAP, REST, IDoc, RFC, and JDBC adapters.
- Monitor and troubleshoot PI/PO interfaces and provide timely resolution.
- Collaborate with functional teams to understand integration requirements and translate them into technical solutions.
- Perform system upgrades, patches, and performance tuning..
- Design and develop custom Fiori applications using SAPUI5 and OData services.
- Extend standard Fiori apps and customize SAP Launchpad configurations.
- Collaborate with ABAP and backend teams to develop and expose OData services.
- Ensure responsive and user-friendly UI/UX design principles are applied.
- Perform unit testing, integration testing, and support UAT..
- Bachelor s or Master s degree in Computer Science, Information Technology, or related field.
- Minimum 7 years of experience in SAP PI/PO and 3 years in SAP Fiori/UI5 development.
- Strong knowledge of SAP NetWeaver, ESR, ID, and NWDS.
- Proficient in Java, XML, XSLT, and web services.
- Experience with SAP Gateway, OData, and SAP Cloud Platform (optional).
- Good understanding of SAP modules (e.g., MM, SD, FI) and business processes.
- Excellent communication and documentation skills.
- SAP certifications in PI/PO or Fiori/UI5 are a plus..
āļāļąāļāļĐāļ°:
System Security, Good Communication Skills, Project Management
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs).
- Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures.
- Performs installation, repair, and preventative maintenance of computer systems and related technologies.
- Tracks and records system performance and utilization metrics.
- Analyses IT systems to identify areas for improvement and developing solutions to optimize business processes and IT operations.
- Participates in the development of IT infrastructure projects.
- Maintains access control, data integrity, and file system security for computer / data center environment.
- Performs any other duties as required by the IT Operations management team.
- To thrive in this role, you need to have: Developing knowledge of data center applications and systems.
- Developing proficiency in hardware and software systems like servers, networks and databases.
- Ability to collect and analyse system performance data to identify issues and improve IT systems.
- Ability to effectively communicate technical information to non-technical people.
- Good communication skills, both written and verbal.
- Good analytical and problem-solving skills to troubleshoot issues and devise efficient solutions.
- Developing project management skills.
- Academic qualifications and certifications: Bachelor's degree or equivalent in Computer Science or Information Technology or related field.
- Relevant vendor certifications such as ITIL foundation.
- Additional beneficial certifications such as CNET and CDCDP etc.
- Required experience: Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting.
- Moderate level experience in a similar role, with strong understanding of IT and data center operations.
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ50,000+
- āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāļāđāļēāļ IT āđāļāđāļāļāļąāļāļāļēāļāļāļąāđāļāļāđāļēāļ Hardware āđāļĨāļ° Software.
- āļāļīāļāļāļąāđāļ āļāļđāđāļĨ āđāļĨāļ°āļāđāļāļĄāļāļģāļĢāļļāļāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ āđāļāđāļ Router, Switch Hub, Access Point, NAS.
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- āļāļđāđāļĨāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒāļāļ·āđāļāļāļēāļ āđāļāđāļ IP Address, DHCP, DNS.
- āļāļīāļāļāļąāđāļāđāļĨāļ°āļāļđāđāļĨāļĢāļ°āļāļāļāļāļīāļāļąāļāļīāļāļēāļĢ Windows Server āđāļĨāļ° Linux āđāļāļ·āđāļāļāļāđāļ.
- āļāļđāđāļĨāļāļąāļāļāļĩāļāļđāđāđāļāđāļāļēāļ (User Account) āđāļĨāļ°āļŠāļīāļāļāļīāđāļāļēāļĢāđāļāđāļēāļāļķāļāļĢāļ°āļāļāļāđāļēāļ āđ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāđāļāđāļāļēāļāđāļāļĢāđāļāļĢāļĄāļāļ·āđāļāļāļēāļāđāļĨāļ°āđāļāļāļāļĨāļīāđāļāļāļąāļāļŠāļģāļāļąāļāļāļēāļ.
- āļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļđāđāđāļŦāđāļāļĢāļīāļāļēāļĢāļ āļēāļĒāļāļāļāļŦāļĢāļ·āļāļāļąāļāļāļĨāļēāļĒāđāļāļāļĢāđāđāļĄāļ·āđāļāļĄāļĩāļāļąāļāļŦāļēāļāđāļēāļāļĢāļ°āļāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļ§āļŠ. āļŦāļĢāļ·āļāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ·āđāļāļāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļ TCP/IP, āđāļāļĢāļ·āļāļāđāļēāļĒ LAN, āļāļēāļĢāļāļąāđāļāļāđāļē DHCP.
- āđāļāđāļēāđāļāļāļ·āđāļāļāļēāļāļāļēāļĢāļāļģāļāļēāļāļāļāļāļāļļāļāļāļĢāļāđ Router, Switch Hub, Access Point āđāļĨāļ° NAS.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļīāļāļāļąāđāļāđāļĨāļ°āļāļđāđāļĨāļĢāļ°āļāļāļāļāļīāļāļąāļāļīāļāļēāļĢ Windows Server āđāļĨāļ° Linux.
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āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.
- Design, develop, and maintain scalable data pipelines for batch and real-time processing.
- Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
- Optimize data storage and retrieval processes for improved performance.
- Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
- Ensure data quality, consistency, and reliability across all data systems.
- Develop and maintain data models and schemas.
- Implement data security measures and access controls.
- Troubleshoot data-related issues and optimize system performance.
- Stay up-to-date with emerging technologies and industry trends in data engineering.
- Document data architectures, pipelines, and processes.
- Bachelor's degree in Computer Science, Engineering, or a related fields 2. 2-4 years of experience in data engineering or similar roles 3. Strong programming skills in Python, Java, or Scala 4. Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL) 5. Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services 6. Knowledge of data warehousing concepts and ETL best practices 7. Experience with version control systems (e.g., Git) 8. Understanding of data cleansing, data modeling and database design principles 9. Solid problem-solving skills and attention to detail 10. Good communication skills and ability to work with technical and non-technical team members.
- Experience with Azure data platform (ADF, Databrick) 2. Familiarity with data visualization tools (e.g., Tableau, Power BI) 3. Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources) 4. Experience with containerization technologies (e.g., Docker).
- Experience to deal with large data and optimization skill in development.
- Understanding of machine learning concepts and data science workflows.
āļāļąāļāļĐāļ°:
Research, ETL, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the design and development of data architecture, ensuring scalability, security, and alignment with business strategy.
- Oversee the collection, transformation, and integration of data from multiple internal and external sources.
- Conduct advanced research and troubleshooting to address complex business and technical problems.
- Design, build, and optimize data pipelines and ETL processes to handle large-scale and real-time data.
- Implement automation solutions to minimize manual intervention and improve data efficiency.
- Provide technical leadership and mentorship to junior engineers, ensuring best practices in coding, testing, and deployment.
- Collaborate with cross-functional stakeholders including Data Scientists, Analysts, and Business Leaders to deliver actionable insights.
- Evaluate and recommend new tools, frameworks, and technologies to enhance data engineering capabilities.
- Job SpecificationBachelor s Degree in Information Technology, Computer Science, Statistics, Mathematics, Business, or a related field (Master s Degree is a plus).
- Minimum of 5 years experience in data engineering, with at least 2 years in a senior or lead role.
- Proven expertise in the data analytics lifecycle, including business problem framing, KPI/metrics design, exploratory analysis, and presenting data insights.
- Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and advanced programming skills in Python, Java, PySpark.
- Solid knowledge of data processing, ETL frameworks, data warehousing, and messaging queue systems (e.g., Kafka).
- Demonstrated experience in designing highly scalable, resilient, and secure data systems.
āļāļąāļāļĐāļ°:
Research, Python, TensorFlow
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
Accounting, Finance, SAP, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Participate in data gap analysis to identify shortcomings in the current system and gather business requirements from users.
- Support the design and preparation of documents related to functional system specifications and process flows.
- Assist in providing advice on accounting treatments and policies related to new systems.
- Contribute to financial information system projects, such as SAP or Odoo or related application implementation and Finance Transformation initiatives.
- Assist in system testing to ensure the system functions correctly as designed.
- Provide post-Go-Live support to end-users, including troubleshooting and issue resolution, to ensure a smooth transition and system adoption.
- Connect to, extract, and manage data from the business line's central Data Lakehouse using tools like SQL and Python for analytical preparation.
- Develop and design insightful dashboards and analytical reports to support management decision-making, using modern BI tools such as Power BI or Tableau.
- Driving the use of AI.
- Champion the adoption of AI-powered tools to automate routine financial processes, enhancing operational efficiency and data accuracy.
- Leverage AI-driven analytics to generate predictive insights, improve financial forecasting, and support strategic decision-making.
- Bachelor s degree in accounting or finance.
- Approximately 5 years of experience in accounting and finance, with an understanding of various accounting and finance systems.
- Certified in Business Analytics, Data and Analytics with Power BI, and Artificial Intelligence: Machine Learning.
- Proficient in Microsoft Office (Word, Excel, PowerPoint, Power Platform).
- Skilled in using Power BI, SAP or Odoo.
- Basic knowledge of programming languages such as Python.
- Able to work effectively both independently and as a team member.
- Capable of working creatively in a stressful environment.
- Good command of spoken and written English..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Kubernetes, Automation, Redis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Platform Operations: Manage and operate our Kubernetes platform, ensuring high availability, performance, and security.
- Automation & Tooling: Design, develop, and implement automation solutions for operational tasks, infrastructure provisioning, and application deployment.
- Observability: Build and maintain a comprehensive observability stack (monitoring, logging,tracing) to proactively identify and resolve issues.
- Platform Stability & Performance: Implement and maintain proactive measures to ensure platform stability, performance optimization, and capacity planning.
- Middleware Expertise: Provide support and expertise for critical middleware tools such as RabbitMQ, Redis, and Kafka, ensuring their optimal performance and reliability.
- Incident Response: Participate in our on-call rotation, troubleshoot and resolve production incidents efficiently, and implement preventative measures.
- Collaboration: Collaborate effectively with development and other engineering teams.
- Positive attitude and empathy for others.
- Passion for developing and maintaining reliable, scalable infrastructure.
- A minimum of 3 years working experience in relevant areas.
- Experience in managing and operating Kubernetes in a production environment.
- Experienced with cloud platforms like AWS or GCP.
- Experienced with high availability, high-scale, and performance systems.
- Understanding of cloud-native architectures.
- Experienced with DevSecOps practices.
- Strong scripting and automation skills using languages like Python, Bash, or Go.
- Proven experience in building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI).
- Deep understanding of monitoring, logging, and tracing tools and techniques.
- Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
- Strong understanding of Linux systems administration and networking concepts.
- Experience working with middleware technologies like RabbitMQ, Redis, and Kafka.
- Excellent problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Strong interest and ability to learn any new technical topic.
- Experience with container security best practices.
- Experience with chaos engineering principles and practices.
- Experience in the Financial Services industry.
- Opportunity to tackle challenging projects in a dynamic environment.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļīāļāļāļąāđāļ Configure āļāļģāļŦāļāļāļŠāļīāļāļāļīāđāļāļēāļĢāđāļāđāļēāļāļķāļ āļāļāļŠāļāļ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļēāļāđāļēāļāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ (LAN, WAN, Wireless) āđāļāļ·āđāļāļāļāđāļ
- āļāļĢāļ§āļāļŠāļāļ āļāļīāļāļāļąāđāļ āļāļđāđāļĨ āļāļĢāļąāļāļāļĢāļļāļāļāļąāļāļāļē āđāļāđāđāļāļāļēāļĢāļāļģāļāļēāļāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒāļāļāļāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļ āđ āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ
- āļāļđāđāļĨ āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāļĢāļāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
āļāļąāļāļĐāļ°:
Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļīāļ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļģāđāļŠāļāļ āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļēāļĢāļāļģāļāļēāļāđāļāļĒāļāļēāļĢāļāļģāļĢāļ°āļāļ āđāļāļāđāļāđāļĨāļĒāļĩ āļŦāļĢāļ·āļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļāļ Automate āļĄāļēāđāļāđāļāļēāļ.
- āļāļĢāļīāļŦāļēāļĢ āļāļđāđāļĨ āđāļĨāļ°āļāļąāļāļāļēāļĢāļĢāļ°āļāļ Contact center āđāļāļ·āđāļāļāļąāļāļāļēāļĢāđāļŦāđāļĢāļ°āļāļāđāļāđāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĨāļ°āļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļēāļĢāļāļģāļāļēāļāļāļāļāļāļļāļĢāļāļīāļ (Automatic call distributor (ACD), Computer Telephony Integration (CTI), āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļē (Customer Profile), āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ Skill, āļāļēāļĢāđāļāļāļŠāļēāļĒāđāļāļ Exclusive Call /Hunting Call āļāļāļĢāļ°āļāļ, Category Management, etc.).
- āļŠāļāļąāļāļŠāļāļļāļ āļāļĢāļ§āļāļŠāļāļ āļāļđāđāļĨ āđāļāļ°āļāļģ āđāļĨāļ°āļāđāļāļĄāļāļģāļĢāļļāļāđāļāļ·āđāļāļāļāđāļ āđāļāļ·āđāļāđāļŦāđāļĢāļ°āļāļ āđāļĨāļ°āļāļļāļāļāļĢāļāđāļāđāļēāļāđāļāļĒāļđāđāđāļ ...
- āļāļąāļāļāļģ āđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ Customer Satisfaction āļāļāļāļĨāļđāļāļāđāļē āđāļĨāļ°āļāļģāļĄāļēāđāļāļ·āđāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļ āđāļāđāđāļāļāļēāļĢāļāļĢāļīāļāļēāļĢāļāļāļāļāļāļąāļāļāļēāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ (ICT, SBP, Vendor, etc.) āđāļĨāļ°āļĢāđāļ§āļĄāđāļāđāđāļāļāļąāļāļŦāļēāļāļēāļĢāđāļāđāļāļēāļ āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļ·āđāļāđāļŦāđāļāļļāļĢāļāļīāļāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāđāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļāđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āđāļāļ°āļāļģāļ§āļīāļāļĩāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļāļ·āđāļāđāļŦāđāļāļĩāļĄāļāļēāļāļŠāļēāļĄāļēāļĢāļāđāļāđāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ° āđāļāđāļāļĄāļēāļāļĢāļāļēāļāļāļāļāļĢāļ°āļāļ āđāļāđāļ āļĢāļēāļĒāļāļēāļāļĒāļāļāļāļēāļĒ, Order Status, āļāđāļāļĄāļđāļĨ Inbound-Outbound, Excel file Data.
- āļāļĢāļīāļŦāļēāļĢ āļāļđāđāļĨ āđāļĨāļ°āļāļąāļāļāļēāļĢāļĢāļ°āļāļ Knowledge Management āđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļāđāļāļ āđāļĨāļ°āđāļŦāļĄāļēāļ°āļŠāļĄāļāđāļāļāļēāļĢāđāļāđāļāļēāļ.
- āļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļāļģāđāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ Productivity āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ āđāļĨāļ°āļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļąāļāļāļēāļāļļāļāļĨāļēāļāļĢāļ āļēāļĒāđāļ.
- āļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
āļāļąāļāļĐāļ°:
SAP
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop, maintain, and enhance SAP-ABAP programs.
- Design and implement ALV reports, Smart Forms, User Exits, Queries, and Dialog Programs to optimize business processes.
- Collaborate with cross-functional teams, including business analysts and end-users, to gather and analyze requirements.
- Troubleshoot and resolve technical issues in SAP-ABAP applications, ensuring optimal system performance.
- Work independently and within a team to develop and deploy SAP solutions in alignment with business needs.
- Communicate effectively with stakeholders to understand business requirements and translate them into technical solutions.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience 3 years as an SAP-ABAP Programmer.
- Background in the food industry or similar supply chain environments is a plus.
- In-depth knowledge of SAP-ABAP programming language.
- In-depth knowledge of Report ALV, Smart forms, User Exit, Query, Dialog program.
- Strong problem-solving and analytical skills.
- Ability to work independently and collaboratively in a team-oriented environment.
- Excellent communication skill.
āļāļąāļāļĐāļ°:
Project Management
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāđāļāļāļēāļĢāļāļģāđāļāļĢāļāļāļēāļĢ āļāļĢāđāļāļĄāļāļ§āļāļāļļāļĄāļāļāļāļĢāļ°āļĄāļēāļāđāļāđāļāļĢāļāļāļēāļĢāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ.
- āļĻāļķāļāļĐāļēāļāļģāļāļ§āļēāļĄāđāļāđāļēāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāļāļāļāļāļļāļĢāļāļīāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĢāļ°āđāļāđāļāļāļąāļāļŦāļē/āļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļēāļāļāļļāļĢāļāļīāļāđāļāđ (Business Requirement) āđāļĨāļ°āļāļāļāđāļāļāļĢāļ°āļāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āļĢāļāļāļĢāļąāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļāļāļļāļĢāļāļīāļāđāļŦāļĄāđāļāļĩāđāđāļāļīāļāļāļķāđāļ.
- āļĻāļķāļāļĐāļēāļāļģāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļļāļĢāļāļīāļāļāđāļēāļāļĨāļĩāļ āđāļāļ·āđāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļēāļĢāļ°āļāļāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļĢāđāļēāļāļāđāļēāļāļĨāļĩāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļēāļĢāđāļāđāļāļēāļāđāļāļĢāđāļēāļāļāđāļēāļāļąāļāļāļĄāļīāļāļĢ.
- āļĻāļķāļāļĐāļēāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāđāļāļĢāļāļāļēāļĢāđāļāļ·āđāļāļāļąāļāļāļģāđāļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ, āļāđāļāļĄāļđāļĨāļāļēāļāđāļĨāļ·āļāļāđāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļģāđāļŠāļāļāļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļāļ·āđāļāļāļāļļāļĄāļąāļāļī āļāļēāļĄāļŦāļĨāļąāļāļāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāđāļāļĢāļāļāļēāļĢ Project Management.
- āļāļīāļāļāļēāļĄāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāđāļĨāļ°āļāļąāļāđāļāļāđāļāļāļāļēāļ āđāļāļ·āđāļāļĢāļēāļĒāļāļēāļāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāđāļāļĢāļāļāļēāļĢāļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļāđ.
- āļĻāļķāļāļĐāļēāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļēāļāļāļļāļĢāļāļīāļ āļāļĢāđāļāļĄāļāļģāđāļŠāļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļŦāļĄāđāļāļĩāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļāļ·āđāļāļŠāļĢāļļāļāđāļāđāļāđāļāļāļŠāļēāļĢāļŠāļģāļŦāļĢāļąāļāļāļąāļāļāļēāļĢāļ°āļāļāļāļēāļĄāļĄāļēāļāļĢāļāļēāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļąāļāļāļēāđāļāļĢāđāļāļĢāļĄāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļŠāļĢāđāļēāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļģāđāļāļīāļāļāļēāļĢāļāļāļŠāļāļāļĢāļ°āļāļāđāļŦāđāđāļāđāļāļēāļĄāļĄāļēāļāļĢāļāļēāļ Non-Functional āđāļĨāļ° Functional āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļāļŠāļāļāđāļŦāđāđāļāđāļāļēāļĄ Requirement Spec āļāļĢāđāļāļĄāļāļąāđāļāļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāļēāļĢāļāļāļŠāļāļ Test script āļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄāļāļąāļāļāļēāļĢāļ°āļāļ āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļāļŠāļāļāđāļāļ·āđāļāļāļģāđāļŠāļāļāļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāļđāđāļĄāļ·āļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļĩāđāļāļąāļāļāļēāđāļĨāļ°āļĢāļ°āļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļāđāđāļāļāļēāļĢāļāļāļĢāļĄāđāļŦāđāļāļąāļāļāļđāđāđāļāđāļāļēāļ āļāļĩāļāļāļąāđāļāļĒāļąāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāļĢāļ°āđāļāđāļāļāļĩāđāļāđāļāļāļāļąāļāļāļēāđāļāļīāđāļĄāđāļāļīāļĄ āđāļāļ·āđāļāļĢāļ§āļāļĢāļ§āļĄāđāļāļāļēāļĢāļāļģāđāļāļāļāļąāļāļāļēāļāđāļāļĒāļāļāļĢāļ°āļāļāđāļ Phase āļāđāļāđāļ.
- āļāļģāđāļāļīāļāļāļēāļĢāļāļķāļāļāļāļĢāļĄāļāļēāļĢāđāļāđāļāļēāļāđāļŦāđāļāļąāļāļāļđāđāđāļāđāļāļēāļāļĢāļ°āļāļąāļāļāđāļēāļāđ āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļ.
- āļāļģāđāļāļīāļāļāļēāļĢāļ§āļēāļāđāļāļāļāļēāļĢāļāļđāđāļĨāļĢāļ°āļāļāđāļŦāđāļŠāļēāļĄāļēāļĢāļāđāļāđāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āļ§āļēāļāđāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļ°āļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļēāļĢāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļāļāļāļāđāļāļāđāļāđāļĨāļĒāļĩ āđāļĨāļ°āđāļāđāļāđāļāļāļēāļĄāļāđāļĒāļāļēāļĒāļāļĢāļīāļĐāļąāļ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļāđāļēāļāļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ, āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļļāļĢāļāļīāļ, āđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ āļŦāļĢāļ·āļ āļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļāļēāļāđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļĒāđāļēāļāļāđāļāļĒ 5 āļāļĩāļāļķāđāļāđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļāļĩ āļĄāļĩāļŠāļēāļĄāļēāļĢāļāļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļĢāļ°āļāļāļāļēāļ āļŦāļĢāļ·āļ āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļāļēāļāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĢDatabase āđāļāđāļāļĒāđāļēāļāļāļĩ.
- āļāļīāļāļāđāļāļŠāļāļāļāļēāļĄ.
- āļāļļāļāļŠāļ§āļĢāļīāļāļāļĢāđ.
- āļŠāļģāļāļąāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨ.
- āļāļĢāļīāļĐāļąāļ āļĄāļĩāļāļąāļĒ āļĄāļĩāđāļāļ āļāļģāļāļąāļ.
- āļāļēāļāļēāļĢāđāļŠāļāđāļŠāļĄ āļāļāļāļ§āļīāļ āļēāļ§āļāļĩāļĢāļąāļāļŠāļīāļ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ 10900.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
- Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
- Oversee the development and management of complex ETL/ELT processes for data ingesti ...
- Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
- Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
- Administer and optimize cloud-based data warehouse solutions and associated data lakes.
- Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
- Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
- Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
- At least 5 years of experience working in a data engineering or related position.
- Proficient in advanced SQL, including query optimization and performance tuning.
- Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
- Skilled in using Python for data processing and advanced pipeline development.
- Experienced with tools and technologies for data ingestion, connectivity, and management.
- Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
- Excellent analytical and problem-solving skills.
- Communication and teamwork skills.
- Ability to plan and manage tasks effectively.
āļāļąāļāļĐāļ°:
Golang, TypeScript, Kafka, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and build backend services with Golang and TypeScript that are secure, scalable, and maintainable..
- Develop REST/gRPC APIs and asynchronous processing with queues/streams (Kafka/RabbitMQ/NATS)..
- Work with PostgreSQL and Redis, including schema design and query performance tuning..
- Establish CI/CD, automated testing, and observability (logging/metrics/tracing) for production systems..
- Design and develop frontend applications with React (Next.js) that are responsive, accessible, and maintainable..
- Integrate frontend applications with backend APIs, manage state using Redux Toolkit or React Query, and ensure smooth data flow across the stack..
- Collaborate with designers to implement pixel-perfect, user-friendly interfaces and ensure consistent UX across web platforms.
- Co-design architectures (Clean/Hexagonal/DDD) with Product, QA, Infra, and Security teams.
- (Optional) Integrate internal Web3/blockchain services where applicable.
- Job Description:Implement microservices using Go (Gin/Echo/Fiber) and TypeScript (NestJS/Express), plus background workers/schedulers..
- Develop and maintain frontend applications with React (Next.js), implementing responsive, accessible, and reusable UI components..
- Integrate frontend applications with REST/gRPC APIs, handle authentication flows, and manage state with Redux Toolkit..
- Optimize frontend performance, bundle size, and rendering speed, ensuring smooth user experience and adherence to web vitals metrics..
- Define API contracts, manage Protobuf/OpenAPI specs, and maintain API versioning..
- Author robust tests (unit/integration/contract) with go test/testify, Jest, etc..
- Build and maintain Docker/Kubernetes pipelines on AWS/GCP with GitHub Actions/GitLab CI..
- Operate monitoring/alerting (Prometheus/Grafana, OpenTelemetry) and do performance profiling (pprof)..
- Enforce application security (authn/authz, OWASP) and conduct regular code reviews.
- Write technical docs, pair program, support agile ceremonies, and participate in on-call rotations..
- Collaborate closely with Product, Design, QA, and Infrastructure teams to deliver high-quality, reliable, and user-focused features..
- Bonus: Build Flutter (Dart) for mobile development, integrating APIs/sockets with proper state management (Bloc/Riverpod) and release pipelines..
- Bachelor s in CS/CE or equivalent experience; we prioritize impact and depth over tenure..
- Proficiency in Golang and/or TypeScript/Node.js (including Go concurrency patterns)..
- Strong foundation in data structures/algorithms and system design (scalability/reliability).
- Hands-on with PostgreSQL and Redis..
- Knowledge of REST/gRPC, API versioning, and secure API practices (JWT/OAuth2/Key management)..
- Practical experience with Git/CI/CD, Docker, basic Kubernetes, and production observability..
- Clear communication, cross-functional collaboration, and strong ownership.
- Thai/English for technical work (read/write).
- Nice-to-have / Bonus.
- Flutter (Dart) for mobile (Bloc/Riverpod, Clean Architecture, Fastlane/Firebase) Bonus.
- Kafka/RabbitMQ/NATS; event-driven architectures.
- GraphQL, WebSocket, real-time systems.
- OpenTelemetry, ELK/OpenSearch, SLO/Error budget, chaos/load testing.
- Web3/blockchain familiarity (optional).
- Practical security (secret management, least privilege, SAST/DAST).
- Container Technology such as docker.
āļāļąāļāļĐāļ°:
Compliance, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
āļāļąāļāļĐāļ°:
Java, Kotlin, Spring Boot, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, develop, and implement high-quality, scalable, and maintainable backend systems using Java or Kotlin, Spring/Spring Boot, and Microservices architecture.
- Collaborate with cross-functional teams to design and deliver robust, secure, and efficient solutions.
- Integrate APIs and services with modern platforms to enhance performance and scalability.
- Troubleshoot, optimize, and maintain existing applications to ensure reliability and efficiency.
- Contribute to defining best practices, coding standards, and modern development methodologies.
- Explore new technologies and tools to continuously improve backend performance and maintainability.
- QualificationsBachelor s degree or higher in Computer Engineering, Computer Science, IT, Information Systems, or a related field.
- Internship experience in backend development using Java/Kotlin + Spring/Spring Boot + Microservices.
- Fresh graduates with strong portfolios or internship experience are also welcome.
- Strong understanding of software development principles and teamwork in an Agile environment.
- Good command of English (written and spoken) or at least able to communicate ideas clearly.
- Self-motivated, eager to learn, and passionate about staying current with new technologies.
- Willingness to work onsite.
- Why Join Accenture?Work on impactful, large-scale digital projects with leading brands.
- Access to continuous learning programs and technical certifications.
- Be part of a supportive, collaborative, and innovation-driven culture.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Architecture, Java, Javascript
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Write application code that sets a good example for the rest of the team.
- Set up testing frameworks and achieve test coverage to assure validity of software.
- Perform code reviews and ensure the quality and integrity of the software developed by the team.
- Lead and contribute to process improvement within the local and remote development team(s).
- Make decisions related to implementation strategy, software architecture, adoption of libraries and frameworks, and other related issues.
- Identify potential risks and challenges, and effectively address them with timely and innovative solutions.
- Stay current with emerging technologies in the software development, and make the case for their incorporation as appropriate to drive business outcomes.
- Team Lead.
- Manage a development team to set and accomplish quality metrics.
- Lead team to support the system/solution design and planning aspects of feature development with multiple stakeholders.
- Coach and develop development team members, particularly in delivering high-quality, testable code and fault-tolerant systems.
- Work with local teams (e.g., Platform Engineering, QA) and the Global team (in Singapore, India, and other centers) on over-arching policy and governance.
- Foster a culture of continuous learning within the team. Encourage openness to new ideas, diverse perspectives, and adaptability.
- Bachelor s or Master s degree in Computer Engineering, Information Technology, or a related field, or equivalent work experience.
- 6+ years experience in Software Engineering roles, with at least two years in a technical leadership role. Demonstrated history of learning new technologies quickly.
- Experience delivering, maintaining, and improving a web application in production in a public cloud environment. This should include working with (or on) a CI/CD pipeline and managing most aspects of a 12-factor application.
- Expertise in one or (ideally) more server-side programming languages. Examples: Java, JavaScript/TypeScript, Python, Ruby, Go, C#, Rust. Familiarity with modern web development frameworks and tools.
- Experience and understanding of software engineering practices and teamwork, including: Agile or sprint cycles, software lifecycle management, version control (git) - including branch and release management, and unit/functional/integration testing.
- Experience investigating and solving problems with common tools, including debuggers, API clients (e.g., curl, Postman), centralized logs (e.g., ELK, Grafana), and application performance monitoring (e.g., Azure Monitor, Azure Application Insights, New Relic). All specific applications are provided as examples only; we are interested in general systems experience.
- Experience using workflow management software (e.g. Jira, ServiceNow, BMC).
- Familiarity with Linux-based servers and tool chains.
- Excellent spoken and written communication skills to effectively interact with team members, senior management, and other stakeholders.
- A proactive attitude to solving problems and working with various teams.
- Proficient in English (equivalent to IELTS 5.5, CEFR B2, or TOEFL 72); excellent spoken and written communication to effectively work with senior management from a global team.
- (non-Thai candidates) Basic Thai listening proficiency. Experience supervising and working with a Thai-speaking team.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
- Develop data pipeline automation using Azure technologies, Databricks and Data Factory
- Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects
- Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes
- 3 years+ experience in big data technology, data engineering, data analytic application system development.
- Have an experience of unstructured data for business Intelligence or computer science would be advantage.
- Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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