เงื่อนไขการค้นหา

ทักษะ:

SQL, Oracle, Data Warehousing

ประเภทงาน:

งานประจำ

• Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
• At least 3 years of experience as a Data Engineer or in a related role.
• Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
• Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
• Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Strong understanding of data governance, security, and privacy frameworks in a financial services context.
• Excellent problem-solving skills and attention to detail.
• Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
• Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).
• Contact: K.Chalida 08-------993.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ทักษะ:

ETL, Big Data

ประเภทงาน:

งานประจำ

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

ประเภทงาน:

งานประจำ

• Data Engineer Manager มีบทบาทสำคัญในการออกแบบ พัฒนา และบริหารจัดการโครงสร้างพื้นฐานด้านข้อมูล (Data Infrastructure) ขององค์กร เพื่อรองรับการใช้งานด้าน Analytics, AI และ Business Intelligence โดยทำหน้าที่นำทีม Data Engineer และทำงานร่วมกับทีม Data, Product และ Business เพื่อส่งมอบโซลูชันข้อมูลที่มีคุณภาพ มีเสถียรภาพ และสามารถขยายได้ (Scalable & Reliable).
• Data Architecture & Engineering
• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline)
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured)
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience - ประสบการณ์ 7-12 ปี ในด้าน Data Engineering / Data Platform - มีประสบการณ์บริหารทีม (2-5 ปีขึ้นไป) - มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง ________________________________________.
• Technical Skills - Programming: Python / SQL (Advanced) - Big Data Tools: Spark, Hadoop, Kafka - Workflow Tools: Airflow, DBT - Cloud Platform: AWS / Azure / GCP - Data Warehouse: BigQuery, Snowflake, Redshift ________________________________________.
• Skills & Competencies - Leadership & People Management - Problem Solving & Analytical Thinking - Stakeholder Management - Communication Skills (Technical & Non-technical) - Project / Delivery Management ________________________________________.
• Preferred Qualifications - มีประสบการณ์ด้าน Real-time Data / Streaming - มีความรู้ด้าน Data Governance / Data Security - มี Certification ด้าน Cloud หรือ Data Engineering.
• Contact Information K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

ETL, Assurance, Automation

ประเภทงาน:

งานประจำ

• Analyze business, risk, and regulatory requirements and translate them into system architecture, data models, and ETL designs.
• Design and implement data integration solutions to support Reporting platforms - Perform and oversee data transformation, validation, reconciliation, and data quality assurance to ensure accuracy and regulatory compliance.
• Design, develop, and maintain automation and monitoring scripts using Shell scripts and Batch scripts - Develop, maintain, and optimize PL/SQL objects on Oracle databas ...
• Provide L2/L3 application support, including production issue troubleshooting, impact analysis. - Coordinate with business users, risk teams, and tech teams to resolve data and system issues.
• Oversee and support production operations, batch processing cycles, and critical scheduled jobs.
• Prepare, review, and maintain technical doc (ETL design, data mapping, runbook).
• Ensure full compliance with SDLC, Security policies, Risk controls, and Regulatory standards.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Basic ability to understand business and regulatory requirements with support from senior team members, and assist in translating them into system or data solution requirements.
• Strong ETL frameworks, data lineage, data reconciliation, and data quality management.
• PL/SQL and SQL performance tuning, including query optimization, execution plan analysis, and database efficiency improvement.
• Basic Shell scripting (Bash/KornShell) on Unix/Linux platforms and Windows Batch scripting for automation and operational control.
• Basic Unix/Linux operating systems, including system processes, job scheduling, and troubleshooting.
• Risk Authority, risk management systems, or regulatory reporting applications (Preferable).
• IBM InfoSphere DataStage for enterprise-level ETL and data integration solutions (Preferable).
• 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 (3 days 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
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• 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:

DevOps, Apache, Web Services

ประเภทงาน:

งานประจำ

• Deploy application packages to servers, copy/move files, and monitor log files to ensure successful deployment.
• Provide standby support and monitor server performance/logs during scheduled deployment windows.
• Assist in reviewing, analyzing, and remediating Vulnerability Assessment (VA) and Penetration Testing (Pentest) scan results.
• Manage, renew, and install SSL certificates for various servers and Apache Tomcat instances to ensure secure connections.
• Maintain and support infrastructure environments spanning both On-Premise data centers and Amazon Web Services (AWS)..
• Develop, maintain, and troubleshoot basic Linux shell scripts or batch files to automate routine operational tasks.
• Assist in writing or modifying application logic using Java to support system integrations or batch processing.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
• 2 years of experience in System Administration, DevOps, or Infrastructure support.
• Familiarity with Java programming and Linux Shell Scripting (Bash/Batch).
• Good command of Linux/Unix environments and basic command-line operations (e.g., file manipulation, reading logs, process management).
• Basic understanding of Apache Tomcat or similar Java web application servers.
• Exposure to cloud platforms, specifically AWS (EC2, S3, etc.), is a strong plus.
• Basic knowledge of networking concepts, particularly SSL/TLS certificates and configuration..
• Highly motivated to learn new technologies and follow operational guidelines.
• Good analytical skills to troubleshoot basic system and script errors..
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• 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.

ทักษะ:

Data Analysis, SQL, Linux, English

ประเภทงาน:

งานประจำ

• Support incident management and assist in troubleshooting production issues; participate in Root Cause Analysis (RCA) and help implement preventive actions to reduce recurring incidents.
• Support the defect management lifecycle, including defect triage, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and work with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manuals, and maintain documentation.
• Participate in knowledge sharing and continuously develop technical skills and best practices.
• Effectively handle multiple tasks and work under pressure while maintaining quality.
• QualificationsBachelor's degree in Computer Science, Computer Engineering, or related fields.
• 1-3 years of experience in Application Support, Production Support, or related roles..
• Knowledge of Cloud platforms; AWS knowledge is a plus.
• Familiarity with Linux/Unix operating systems.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Good communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong sense of ownership and accountability.
• Good English communication skills.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.

ประเภทงาน:

งานประจำ

• About the Role.
• We're looking for a Data Analyst Junior or Senior to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
• If you're sharp, meticulous, and energized by making data work harder for the business we'd love to meet you.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.