เงื่อนไขการค้นหา

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

Kafka, Big Data, ETL

ประเภทงาน:

งานประจำ

• Design, build, and optimize data pipelines for ingestion, transformation, and storage.
• Develop and maintain real-time and batch processing pipelines using Spark, Kafka, and Airflow.
• Implement data lake and warehouse solutions using MinIO and ClickHouse.
• Ensure data integrity, security, and governance across all layers of the data architecture.
• Collaborate with analytics and business teams to ensure the data infrastructure supports business needs.
• Optimize data models for performance, scalability, and maintainability.
• Troubleshoot and resolve performance issues across data processing and storage systems.
• Leading and mentoring junior data engineers and team members.
• 3+ years of experience in data engineering, big data processing, or ETL development.
• Proficiency in Python and Airflow for data processing.
• Strong understanding of SQL.
• Familiarity with data orchestration and workflow automation.
• Experience with Kafka, Apache Spark, dbt and ClickHouse will be plus.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

ETL, SQL, Data Analysis

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Openflow, Snowpark, Airflow, Fivetran, Pentaho ).
• Support AI solutions with a strong data foundation design and development.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (Snowflake data clean room, DBT, Collibra, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• 5+ years of relevant experience in data engineering.
• English professional proficiency.
• Certified and experienced in Snowflake.
• Experience in consultancy.
• Experience in API calls, SQL, Python to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in AI tools to support development (windsurf, copilot ).
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Exposure to Cortex AI (AI search, Document AI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Thai language fluency.
• Good communication skills in English.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience in Fabric, Databricks, Big Query.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• Sponsorship for visa and work permit for expatriates.

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow, Pentaho ).
• Model and set up data flow towards third party system such as CDP/CEP.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (DBT, Collibra, Purview, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• Thai language professional proficiency and Good communication skills in English.
• Have experience in Customer Data Platform integration (CDP).
• 5+ years of relevant experience in data engineering.
• Experience in consultancy.
• Experience in API calls, SQL, Python, SparkPY to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Fabric, Big Query.
• Have experience in Customer Engagement Platform integration (CEP).
• Experience in AI tool to support development.
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Certified and experienced in Snowflake.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Experience in Relay42, Segment, Mparticle, Moengage.
• Experience in ML/AI related areas.
• Exposure in LangChain.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.

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:

ETL

ประเภทงาน:

งานประจำ

• Design, develop, and modify ETL pipelines for efficient data processing and integration.
• Optimize long-running batches and enhance overall system performance.
• Automate data validation and quality checks within ETL workflows.
• BI Reporting.
• Develop new BI reports and dashboards based on business requirements using tools like OBIEE/BIP and Microsoft PowerBI.
• Support and enhance existing reports, ensuring accuracy and relevance.
• Collaborate with business users to gather requirements and translate them into actionable reporting solutions.
• Data Management.
• Identify, analyze, and resolve data discrepancies and quality issues.
• Implement data fixes and validate results to maintain data integrity.
• Assist in building and maintaining data structures and views for better insights.
• System Support & Collaboration.
• Provide technical assistance for troubleshooting and resolving issues in data integrations and BI systems.
• Collaborate with cross-functional teams to prioritize and address data-related requests.
• Document processes, technical designs, and workflows to facilitate knowledge sharing.
• Process Improvement.
• Contribute to the enhancement of existing systems by implementing the best practices for data pipelines and BI development.
• Develop and maintain detailed logging and alert systems for proactive issue resolution.

ทักษะ:

ETL, Python, Java

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable and efficient ETL/ELT data pipelines.
• Collaborate with BI teams, Data Scientists, and business units to deliver data solutions.
• Manage and optimize workflows using tools like Apache Airflow or Azure Data Factory.
• Integrate data from various sources into centralized data lakes or data warehouses.
• Troubleshoot and resolve issues in data pipeline jobs and scheduled workflows.
• Support cloud-based data architecture and ensure performance, security, and availability.
• Bachelor s Degree in Computer Engineering, Software Engineering, Information Technology, Data Engineering or any relevant field.
• 2 - 4 years of experience as a Data Engineer or in a related data role.
• Proficient in SQL and programming languages such as Python (including Pyspark or SparkSQL).
• Experience with ETL tools such as Apache Airflow or Azure Data Factory.
• Familiar with BI tools like Power BI or Tableau.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Strong analytical and problem-solving skills, with a collaborative mindset.
• Fluent in Thai with good documentation skill in English.

ทักษะ:

ETL, Power BI, Tableau, English

ประเภทงาน:

งานประจำ

• You are an individual contributor who transforms data-control ideas and initiatives into day-to-day operations. Working within the Group Data Governance Department, the role designs workable run-books, pilots them, and scales them across Krungsri Group. In parallel, acts as secretariat for the Data-related Committee handling meeting logistics, decks and minutes..
• For the detailed scope of work.
• Operationalise Data-Control Initiatives - take concepts such as data-quality issue h ...
• Implementation & Change Management - plan pilots, coordinate cut-over, train users, support, and track adoption KPIs.
• Data-related Committee Secretariat - schedule sessions, prepare briefing packs, record action-oriented minutes (English) and chase follow-ups.
• Stakeholder Workshops - facilitate working sessions with data owners, stewards, IT and subsidiaries; gather pain points; co-create practical fixes.
• Continuous-Improvement Loop - set up control checkpoints, dashboards, and after-action reviews to keep each initiative audit-ready.
• Knowledge Management - curate playbooks, templates, FAQs; maintain business-glossary imports/exports in the data catalogue.
• Track and monitor internal data governance process. (i.e. Data quality incident management, dashboard publication, data steward coordination and etc.).
• Apply now if you have these advantages.
• At least 5 years hands-on process rollout / operational-excellence / project implementation in data-rich environments (banking, fintech, telco, analytics, DWH, BI)..
• Proven experience organising executive level committees (agenda, logistics, minutes).
• Working knowledge of data concepts: ETL, metadata, data-quality metrics, privacy controls.
• Knowledge in process-mapping & optimisation (BPMN, Lean, Kaizen), Data-management fundamentals and Relational DB / DWH / BI basics (Power BI, Tableau).
• Strong ability to extract information by questioning, active listening, and interviewing.
• An understanding of relevant statutory frameworks applying to data governance such as the (e.g. Data Protection Act).
• Can facilitation & presentation in Thai and English, crisp minute-writing; strong analytical/problem solving.
• Advanced MS Office, SharePoint/Teams, Visio, JIRA.
• 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 in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• 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.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ทักษะ:

Automation, Data Analysis, ETL

ประเภทงาน:

งานประจำ

• Develop and implement automation strategies to optimize data administration processes, including data ingestion, validation, transformation, and distribution.
• Manage a team of developers.
• Collaborate with cross-functional teams to identify automation opportunities and streamline data workflows.
• Design and deploy automated data quality checks and monitoring mechanisms to ensure data accuracy and consistency.
• Manage and maintain data automation tools and platforms, overseeing configuration, customization, and troubleshooting as needed.
• Lead initiatives to standardize data governance practices and establish best practices for data automation.
• Stay current with emerging technologies and industry trends in data automation and recommend innovative solutions to enhance efficiency and productivity.
• Provide guidance and support to junior team members, fostering a culture of continuous learning and development.
• Qualifications Bachelor degree or higher in related field.
• Strong background in Data Analysis qualifications.
• Experienced in hospitality industry is an advantage.
• Strong proficiency in data manipulation, ETL and transformation using scripting languages (e.g., Python, C#) and automation framework (Roboframework, UiPath).
• Excellent analytical and problem-solving skills, with the ability to identify inefficiencies and implement effective automation solutions.
• Good leadership and team management skills.
• Additional Information This role is based in Bangkok office and collaboration with Global teams.

ทักษะ:

ETL, Java, Python

ประเภทงาน:

งานประจำ

• Owns larger portions of an installation, break/fix incidents at a low to medium level of complexity during project lifecycle.
• Takes responsibility for problem resolution and troubleshooting during project lifecycle.
• Escalates complex problems to the relevant third parties.
• Assists with the documentation of standard operating procedures relating to installations and fixes during ops handover.
• Compiles and maintains project administration (Time Capture and feedback to stakeholders).
• Conducts elementary presentations within the customer's organization.
• Expected to take leadership from senior resources on relevant technologies according to specialization and best practice.
• Performs any other related task as required.
• Developing fundamental project and administration ability.
• Developing understanding and appreciation of technical design principles and compute layers.
• Ability to develop an understanding of fundamental project and administration processes.
• Display a strong learning orientation.
• Good verbal communication skills.
• Demonstrate a client service orientation.
• Hands-on proactive in approach.
• Knowledge on security concepts and application of those concepts.
• Ability in configuring/managing security controls, such as SIEM, Firewall, IDS/IPS, EDR, NDR, UTM, Proxy, SOAR, Honeypots, decoys, and other security tools.
• Developing knowledge on log collection mechanism such as Syslog, Log file, DB API.
• Developing knowledge in security architecture.
• Developing knowledge on log collection mechanism such as Syslog, Log file, DB API.
• Developing knowledge in security architecture.
• Developing knowledge in ETL concepts, data processing at scale and data stream pipelines through Terraform.
• Ability in cloud services on at least one of the following providers: AWS, Azure, GCP.
• Developing knowledge web service protocols and frameworks for high-availability, low-latency, resiliency, and auto-scaling.
• Developing understanding any of the following - Java, Python, TypeScript, JavaScript, R,.NET, PowerShell.
• Developing knowledge in serverless development.
• Analytical skills and ability to communicate effectively.
• Ability to solve problems in innovative ways while adhering to industry standards and practices.
• Developing understanding practices on securing data and systems by applying appropriate authentication and authorization controls.
• Developing understanding of Event Driven Development and asynchronous operations.
• Developing understanding project fundamentals which are demonstrated in the execution of installations and other assignments.
• Developing knowledge of security technologies and understanding of managed services concepts.
• Bachelor's degree or equivalent in Information Technology or Computing or a related field.
• Vendor certification is mandatory.
• Azure Certified Security Engineer / PCNSA / FCA / CCNA Security.
• Cloud Security certifications and certifications like AZ-500, SC-200, Security+, CEH, CISSP, CISM or similar Certification in different networking technologies such as CCDP /CCNP Security, JNCIA, ACCA, PCNSE, PCNSA, FCP, CCSA, ITIL, Azure Security Engineer, Azure Certified DevOps Engineer, Azure Certified Network Engineer, Azure Administrator Associate, will be an advantage.
• Certifications relevant to the services provided (certifications carry additional weightage on a candidate s qualification for the role) Terraform, Azure, Sentinel, EDR Defender for Cloud, Microsoft Security, Devops Ci/CD Pipelins, Azure Governance (Defender for Cloud, Azure Policies, Secure Score and Compliance), Version Control (Git), Microservices (Kubernetes, Azure Containers), Azure / AWS/ GCP Infrastructure (IaaS, PaaS, SaaS), Azure Infrastructure as Code, Azure Administration, Hybrid Cloud, Networking (Firewalls, LAN, VPN), Automation, MS Office365, Power BI Administration, Scripting (PowerShell), ZTNA.
• Moderate level experience in SOC Analysis Operations.
• Moderate level experience in SIEM usage for Moderate level experience in Azure or AWS or GCP.
• Moderate level experience in Security technologies like Firewall, IPS, IDS, Proxy etc.
• Moderate level experience in technical support to clients.
• Moderate level experience in handling security incidents end to end.
• Moderate level experience in Security Analysis or Engineering.
• Moderate level experience in configuring/managing security controls, such as SIEM, Firewall, IDS/IPS, EDR, NDR, UTM, Proxy, SOAR, Honeypots, and other security tools.
• 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:

ETL, Java, Python

ประเภทงาน:

งานประจำ

• Owns larger portions of an installation, break/fix incidents at a low to medium level of complexity during project lifecycle.
• Takes responsibility for problem resolution and troubleshooting during project lifecycle.
• Escalates complex problems to the relevant third parties.
• Assists with the documentation of standard operating procedures relating to installations and fixes during ops handover.
• Compiles and maintains project administration (Time Capture and feedback to stakeholders).
• Conducts elementary presentations within the customer's organization.
• Expected to take leadership from senior resources on relevant technologies according to specialization and best practice.
• Performs any other related task as required.
• Developing fundamental project and administration ability.
• Developing understanding and appreciation of technical design principles and compute layers.
• Ability to develop an understanding of fundamental project and administration processes.
• Display a strong learning orientation.
• Good verbal communication skills.
• Demonstrate a client service orientation.
• Hands-on proactive in approach.
• Knowledge on security concepts and application of those concepts.
• Ability in configuring/managing security controls, such as SIEM, Firewall, IDS/IPS, EDR, NDR, UTM, Proxy, SOAR, Honeypots, decoys, and other security tools.
• Developing knowledge on log collection mechanism such as Syslog, Log file, DB API.
• Developing knowledge in security architecture.
• Developing knowledge on log collection mechanism such as Syslog, Log file, DB API.
• Developing knowledge in security architecture.
• Developing knowledge in ETL concepts, data processing at scale and data stream pipelines through Terraform.
• Ability in cloud services on at least one of the following providers: AWS, Azure, GCP.
• Developing knowledge web service protocols and frameworks for high-availability, low-latency, resiliency, and auto-scaling.
• Developing understanding any of the following - Java, Python, TypeScript, JavaScript, R,.NET, PowerShell.
• Developing knowledge in serverless development.
• Analytical skills and ability to communicate effectively.
• Ability to solve problems in innovative ways while adhering to industry standards and practices.
• Developing understanding practices on securing data and systems by applying appropriate authentication and authorization controls.
• Developing understanding of Event Driven Development and asynchronous operations.
• Developing understanding project fundamentals which are demonstrated in the execution of installations and other assignments.
• Developing knowledge of security technologies and understanding of managed services concepts.
• Bachelor's degree or equivalent in Information Technology or Computing or a related field.
• Vendor certification is mandatory.
• Azure Certified Security Engineer / PCNSA / FCA / CCNA Security.
• Cloud Security certifications and certifications like AZ-500, SC-200, Security+, CEH, CISSP, CISM or similar Certification in different networking technologies such as CCDP /CCNP Security, JNCIA, ACCA, PCNSE, PCNSA, FCP, CCSA, ITIL, Azure Security Engineer, Azure Certified DevOps Engineer, Azure Certified Network Engineer, Azure Administrator Associate, will be an advantage.
• Certifications relevant to the services provided (certifications carry additional weightage on a candidate s qualification for the role) Terraform, Azure, Sentinel, EDR Defender for Cloud, Microsoft Security, Devops Ci/CD Pipelins, Azure Governance (Defender for Cloud, Azure Policies, Secure Score and Compliance), Version Control (Git), Microservices (Kubernetes, Azure Containers), Azure / AWS/ GCP Infrastructure (IaaS, PaaS, SaaS), Azure Infrastructure as Code, Azure Administration, Hybrid Cloud, Networking (Firewalls, LAN, VPN), Automation, MS Office365, Power BI Administration, Scripting (PowerShell), ZTNA.
• Moderate level experience in SOC Analysis Operations.
• Moderate level experience in SIEM usage for Moderate level experience in Azure or AWS or GCP.
• Moderate level experience in Security technologies like Firewall, IPS, IDS, Proxy etc.
• Moderate level experience in technical support to clients.
• Moderate level experience in handling security incidents end to end.
• Moderate level experience in Security Analysis or Engineering.
• Moderate level experience in configuring/managing security controls, such as SIEM, Firewall, IDS/IPS, EDR, NDR, UTM, Proxy, SOAR, Honeypots, and other security tools.
• 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.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

ETL, SQL, NoSQL

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts such as analytics warehousing, data processing and transformation, data governance, data migration, ETL/ELT, SQL and NoSQL databases, performance and scalability optimization, and batch versus streaming architectures.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience working with customer requirements, including breaking them down and designing corresponding technical architectures.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), and the cloud market, engaged dynamics and customer buying behavior.
• Experience in delivery of business analytics use cases within the banking or telco industry, from requirements gathering and solution design to implementation and insights generation.
• Experience with architecture design, implementing, tuning, schema design, query and distributed systems.
• Experience in building machine learning solutions and leveraging ML architectures such as deep learning, convolutional neural networks (CNNs), and techniques for load shedding and traffic management.
• Ability to communicate in Thai fluently to support client relationships in this region.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Customer Solutions Consultant, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will require technical, communication and organizational skills.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Work with the team to identify and qualify business opportunities related, understand customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
• Share data analytics to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Sales, Hadoop, ETL, English

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in software sales or account management.
• Experience promoting analytics, data warehousing, or data management software.
• Ability to communicate fluently in English and Thai fluently in order to communicate for APAC customers.
• Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
• Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
• Excellent business acumen and problem-solving skills.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Calibrate business against the objectives and results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing direction.
• Develop and execute account plans, including a broader enterprise plan across industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating solution differentiation and business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Quantitative Analysis, Industry trends

ประเภทงาน:

งานประจำ

• Translating business requirements to technical solutions leveraging strong business acumen.
• You will be a core member of the EY Microsoft Data and AI team, responsible for extracting large quantities of data from client s IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
• Apply expertise in quantitative analysis, data mining and presentation of data to de ...
• Extremely flexible and experience managing multiple tasks and priorities on deadlines.
• Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform roadmaps, and enable the Data Platforms to scale to support additional use cases.
• Staying abreast of current business and industry trends relevant to the client's business.
• Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
• Understanding customers overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
• Strong team collaboration and experience working with remote teams.
• Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
• Demonstrated significant professional experience of commercial, strategy and/or research/analytics interacting with senior stakeholders to effectively communicate insights.
• Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools.
• Provide directional guidance and recommendations around data flows including data technology, data integrations, data models, and data storage formats.
• To qualify for the role, you must have.
• Bachelor s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 3-5 years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles. New graduated are welcome!.
• Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights.
• Experience communicating the results of analysis to both technical and non-technical audiences.
• Independent and able to manage and prioritize workload.
• Ability to adapt quickly and positively to change.
• Breadth of technical passion, desire to learn and knowledge services.
• Willingness and ability to travel to meet client if need.
• Ideally, you ll also have.
• Experience working business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
• Ability to communicate clearly and succinctly, adjusts to a variety of styles and audiences with ability to tell compelling stories with the data.
• Experience with C#, VBA, JavaScript, R.
• A vast understanding of key BI trends and the BI vendor landscape.
• Working experience with Agile and/or Scrum methods of delivery.
• Working experience with design led thinking.
• Microsoft Certifications in the Data & AI domain.
• We re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
• What we offer.
• We offer a competitive compensation package where you ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you ll decide how much vacation time you need based on your own personal circumstances. You ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It s yours to build.
• EY | Building a better working world.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
• EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.

ทักษะ:

Automation, NoSQL, Research, 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.