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Skills:
ETL, Compliance, SQL
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Business Development, Statistics
Job type:
Full-time
Salary:
negotiable
- Provide strategic guidance and actionable insights through business intelligence and market and industry analysis to top management in order to achieve sustainable business continuity.
- Looking for a candidate with experience in marketing, campaign execution and analysis, as well as the ability to develop and implement marketing ideas..
- Major Tasks / Responsibilities.
- Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
- Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
- Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
- Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
- Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
- Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
- Having experience in retail market is a plus.
- Having experience in marketing or campaign execution is a plus.
- Experience in a major financial with large-scale data or similar program management experience.
- At least 5 years in a management role, with board level change or transformation leadership experience.
- Advanced communications, marketing, or journalism experience.
- Good experience using business intelligence tools and data visualization best practices.
- Strong storytelling and communication skills.
- Strong analytical and problem-solving skills.
- Familiarity with data validation tools.
Skills:
Statistics, Big Data, Python
Job type:
Full-time
Salary:
negotiable
- Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
- Data Cleansing and Processing-massage and organize data for further advance analytic.
- Correlate disparate datasets.
- Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
- Identify new business questions that can add value to organization.
- Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
- Discover and create new data features leading to data solutions creation.
- Using data visualization technique and presenting clear outcome as storytelling.
- Apply now if you have these advantages.
- Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
- Must have experience in personalize recommendation and offering for mobile application users.
- 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
- 2+ years of experience in Big Data or AI/ML projects.
- 2+ years of experience in Enterprise Data Warehouse and/or data mining.
- Experience in solving business questions projects.
- Strong in Mathematics & Statistics.
- Strong in programming skill: prefer R, Python, SQL.
- 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).
Skills:
SAP, SQL, Good Communication Skills
Job type:
Full-time
Salary:
negotiable
- Design, implement and deploy SAP PM data migration solutions to achieve defined business goals.
- Be part of the project delivery team, leading and supporting end-to-end SAP PM implementation and data migration workstreams.
- Responsible for creating requirement traceability matrix, design documents, data migration mapping documents, and test scripts.
- Drive discussions with client business during blueprint phase to gather requirements, obtain solution design sign-off, demo configured solutions, and facilitate final UAT sign-off.
- Maintain skills in SAP PM application process design, configuration, and data migration best practices.
- Support SAP application design, development, integration, testing, deployment, and technical architecture related to PM and data migration.
- Execute data migration activities including extraction, cleansing, transformation, loading, and validation of SAP PM data objects.
- Support cutover planning, mock cutover runs, and go-live execution to ensure zero data loss and business continuity.
- QualificationsAt least 1 years of experience in SAP modules such as PM, MM, FICO, CO, PS and Data Migration or other SAP modules.
- Hands-on experience with SAP PM master data objects and data migration tools LSMW, BAPI, SAP Migration Cockpit.
- Experience with SAP S/4HANA is preferred.
- Familiarity with SAP Activate methodology is an advantage.
- ABAP or SQL knowledge for data extraction and validation is a plus.
- Good communication skills able to engage with both technical and business stakeholders.
- Good logical and analytical thinking with strong attention to data accuracy and quality.
- Ability to work under pressure during critical cutover and go-live periods.
- We are hiring Analyst to Senior Consultant levels.
Skills:
Compliance, SQL, Visio
Job type:
Full-time
Salary:
negotiable
- For all RDT s requirement and enhancement, Provide data availability analysis, data source, data extraction criteria, sign off all the RDT changes, testing and ensure the correct result, together with related Domain expert, Data owner and support functions.
- Propose solutions to resolve issues/requirements and confirm final data extraction logic with IT-RDT team.
- Support and/or manage day-to-day DQ issue and/or questions from BOT, and provide sol ...
- Maintain RDT Center parameters.
- Ensure the submission or resubmission of all data tables are performed accurately, completely, within internal schedule and BOT s schedule, including daily monitoring and improving submission processes.
- Responsible with Domain expert and Data owner and IT-RDT to ensure that RDT Data validation/adjustment are executed in due course and effective manner (there are over 20 functions involved for RDT Credit).
- Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners, and support functions.
- Establish and maintain RDT operating manual documents.
- Provide monthly dashboard to all related functions for all submissions.
- Coordinate and support RDT Controller for any questions raised by BOT and/or our compliance.
- Coordinate and support RDT Model for any subjects relating to RDT enhancement.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Computer Science / Management Information System or any related field.
- Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance more than 6 years for team lead.
- Experience in regulatory data management,its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
- Well-versed in RDT regulation literacy.
- Advance Business Analytical skill, Business Rules and Business Solutions.
- Advance Data Model Mindset.
- Advance SQL/ Visio.
- Microsoft Office: Excel/ Word/ Power Point.
- Data profiling with variety data sources.
- Ad-hoc management.
- Well interpersonal skill with IT/Domain Expert/Data Owner.
- 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).
Experience:
5 years required
Skills:
Electrical Engineering, Mechanical Engineering
Job type:
Full-time
Salary:
negotiable
- Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center.
- Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed.
- Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
- Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams.
- Data Center capacity planning and reporting.
- Provide training and guidance to Engineering Operations Technicians.
- Ensure all safety procedures are adhered to by vendor and Amazon staff.
- Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
- Communicate complex technical information to a non-technical audience.
- A day in the life
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA).
- Provide operational readings and key performance indicators to make sure uptime is maintained
- Diverse Experiences
- AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
- Why AWS?
- Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
- Inclusive Team Culture
- AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
- Mentorship & Career Growth
- We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Work/Life Balance
- We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
- BASIC QUALIFICATIONS.
- 5+ years of relevant work experience in a data center or other critical facility management.
- Hands-on experience and solid knowledge in MEP and facility operations.
- PREFERRED QUALIFICATIONS.
- Bachelor s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
- Engineering licenses such as Associate Engineer, Professional Engineer, or equivalent.
- Electrical or mechanical operation license.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.
Skills:
ETL, Big Data
Job type:
Full-time
Salary:
negotiable
- 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!.
Job type:
Full-time
Salary:
negotiable
- 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.
Experience:
4 years required
Skills:
Electrical Engineering, Mechanical Engineering, English
Job type:
Full-time
Salary:
negotiable
- Supervise contractors who perform servicing or preventive maintenance.
- Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements.
- Perform root cause analysis for operational issues.
- Troubleshoot facility and rack level events.
- Ensure all personnel on-site follow safety protocols.
- Work on-call and a rotating schedule as needed.
- Take daily operational readings and provide metrics reporting to senior engineers.
- Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
- A day in the life
- The Data Center Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center.Walk job sites in uneven terrain.
- Work at heights and from ladders.
- Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw.
- Regularly lift and/or move up to 4o pounds; and participate in group lifts for 41 pounds or more.
- Carry objects weighing up to 40 pounds for short distances.
- Work shifts longer than eight hours in duration.
- About AWS
- Diverse Experiences
- Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
- Why AWS
- Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
- Work/Life Balance
- We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve.
- Inclusive Team Culture
- AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
- Mentorship and Career Growth
- We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- BASIC QUALIFICATIONS.
- Associates Degree or Technical Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
- Fluent in English language, both written and spoken.
- 2+ working in a Data Center or Mission Critical Environment.
- PREFERRED QUALIFICATIONS.
- Bachelor s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
- 4+ years of Data Center Operation Experience.
- 2+ years with Microsoft Excel, Word, and Outlook.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.
Experience:
2 years required
Skills:
SQL, Tableau, Python
Job type:
Full-time
Salary:
negotiable
- Run monthly data reviews with the Indonesia squad.
- Track market performance, growth trends, and regional KPIs.
- Turn data into clear recommendations for the regional team.
- Seller & Commercial Analytics.
- Own and maintain our BD pipeline tool tracking sellers across funnel stages (Lead Retention).
- Build seller quality scoring, tier tracking, and health monitoring (GMV, response rate, orders).
- Support the commercial team with data for BD prioritization and seller strategy.
- Product Squad Support.
- Work directly with Product manager to support analytics for seller monetization, discovery and order management squads.
- Track feature performance, funnel metrics, and engagement.
- Marketing & Competitive Intelligence.
- Monitor content marketing performance.
- Build competitor tracking to support category and pricing decisions.
- Dashboard & Reporting.
- Build tracking for product features.
- Build and maintain dashboards in Metabase.
- Handle ad-hoc data requests from cross-functional teams.
- Basic Qualifications.
- 2-4 years of experience in data analytics or business intelligence.
- Strong SQL you can write and debug complex queries independently.
- Proficiency in at least one BI tool (Metabase, Looker, Tableau, GA4 or similar).
- Able to communicate findings clearly to non-technical stakeholders.
- Being an AI enthusiast and adopt to data project quickly, claude code is a plus.
- Preferred Qualifications.
- Google tag manager, tracking tool for digital products.
- Python for automation, AI, analysis.
- Experience with Google BigQuery or other cloud data warehouses.
- Experience with GCP (cloud scheduler, cloud function, and etc.).
- Familiarity with marketplace or platform business models.
- What to Expect.
- Small team (3 people), broad scope you ll work across multiple areas.
- Data foundation is still evolving you ll help shape it, not just use it.
- High startup speed decisions happen in minutes, hours, or days, not sprint cycles.
- Fast feedback loop insights quickly translate into action.
- Tools: BigQuery, Metabase, GA4, Clevertap, Python, Claude.
- Perks & Benefits.
- Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
- Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
- Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
- Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
- Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
- Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
- Group Insurance Health comes first, we know, don t worry, we ve got you covered.
- Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine
Skills:
ETL, Assurance, Automation
Job type:
Full-time
Salary:
negotiable
- 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).
Skills:
Power BI, Tableau, SQL
Job type:
Full-time
Salary:
negotiable
- Dashboard Development & Visualization Design, build, and maintain interactive dashboards and reports that provide clear, accurate, and actionable business insights..
- Business Requirement Gathering Collaborate with stakeholders to understand business needs, define reporting requirements, and translate them into effective visualization solutions..
- Data Preparation & Modeling Prepare, clean, and model data from multiple sources to ensure accuracy, consistency, and usability for reporting and analytics..
- Data Storytelling & Insight Generation Analyze data trends and present insights through compelling visual storytelling to support strategic and operational decision-making..
- Support Data Adoption & Power Users Program Promote self-service analytics by supporting end users, conducting training sessions, and enabling power users across departments..
- Governance & Standardization Ensure dashboards and reports follow data governance policies, visualization standards, and best practices for consistency and quality..
- Specification;.
- Bachelor's degree in Information & Technology.
- Minimum 2 years experience in Experience with BI tools: Power BI / Qlik Sense / Tableau.
- Strong SQL skills (data extraction, joins, aggregation).
- Understanding of data modeling concepts (fact/dimension).
- Experience working with Data Warehouse / Cloud data platform (e.g. Microsoft Fabric is a plus).
- Working Location: The Mall Ramkhamhaeng (Head Office), Airport link (Ramkhamhaeng Station).
Skills:
SQL, Oracle, Data Warehousing
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
SAP, Good Communication Skills, Analytical Thinking
Job type:
Full-time
Salary:
negotiable
- Design, implement and deploy SAP solutions to achieve defined business goals.
- Be part of the project deliver team, leading and support implementation.
- Responsible to create requirement traceability matrix, design documents, test scripts.
- Drive discussion with client business during blueprint phase to gather requirements, solution design sign off, demo of configured solution, final UAT sign off.
- Maintain skills in SAP applications process design and configuration.
- SAP application design, development, integration, testing, deployment and technical architecture.
- Use Data Services to support client.
- Manage small teams and or work efforts if in an individual contributor role at a client or within Accenture.
- At least 3 years of experience in SAP modules such as FICO, FI-Treasury, FM, CO, MM, PS, PM and Data Migration or other SAP modules.
- Experience with S/4 Hana is preferred.
- Have good communication skills.
- Have good logical and analytical thinking.
- We're hiring Analyst to Senior Manager Levels.
Job type:
Full-time
Salary:
negotiable
- 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.
Job type:
Full-time
Salary:
negotiable
- เรียกรายงานรับส่งไฟล์เพื่อขอกรมธรรมกับบริษัทประกัน.
- เรียกรายงานยกเลิกประกันกับบริษัทประกัน.
- ตรวจสอบความถูกต้องของการรับกรมธรรม์จากบริษัทประกัน.
- ติดต่อประสานงานกับบริษัทประกันและหน่วยงานที่เกี่ยวข้อง.
- ติดตามกรมธรรม์ค้างรับ.
- จบปริญญาตรี สาขาใดก็ได้ที่เกี่ยวข้องกับการปฎิบัติงาน.
- มีทักษะความรู้เกี่ยวกับคอมพิวเตอร์พื้นฐาน: MS Word, MS excel เป็นอย่างดี.
- มีประสบการณ์เกี่ยวกับงานประกันภัยหรืออื่นๆที่เกี่ยวข้อง.
Experience:
4 years required
Skills:
Electrical Engineering, Mechanical Engineering, English
Job type:
Full-time
Salary:
negotiable
- Supervise contractors who perform servicing or preventive maintenance.
- Operate and maintain mechanical and electrical equipment.
- Perform root cause analysis for operational issues.
- Troubleshoot facility and rack level events within internal SLA.
- Ensure all personnel on-site follow safety protocols.
- Work on-call and a rotating schedule as needed.
- Take daily operational readings and provide metrics reporting to senior engineers.
- Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
- A day in the life
- The Data Center Engineering Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center. The EOT serves as a technical resource to support Amazon within its owned and operated data centers. This equipment supports mission-critical servers and must maintain better than 99.999% uptime. The Data Center Engineering Technician will continue to maintain high reliability and performance while keeping operating costs in facilities at a minimum.
- Engineering Technicians are Amazon s front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot, Data Center Operation s Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors.
- About AWS
- Diverse Experiences
- Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
- Why AWS
- Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
- Work/Life Balance
- We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve.
- Inclusive Team Culture
- AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
- Mentorship and Career Growth
- We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- BASIC QUALIFICATIONS.
- 2+ years of electrical or mechanical experience.
- 2+ years working in a Data Center or Mission Critical Environment.
- English language, both written and spoken.
- PREFERRED QUALIFICATIONS.
- Bachelor s Degree in Electrical Engineering or relevant discipline.
- 4+ years of Data Center engineering/operations/facilities experience.
- 2+ Microsoft Excel, Word, Outlook and technical writing skills.
- Operating engineering licenses.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.
Skills:
SAP, Software Development
Job type:
Full-time
Salary:
negotiable
- ตรวจสอบ และปรับปรุงข้อมูลส่วนกลาง ระบบงาน SAP.
- ประสานงานกับผู้ใช้งาน ทีม IT, บริหารสินค้า, ศูนย์การค้า, บัญชี, การเงิน.
- ประสานงานกับผู้ใช้งานในระบบ เกี่ยวกับปัญหา และการแก้ไข.
- ปรับปรุงการทำงานของผู้ใช้งานตามระบบงาน ให้เกิดประสิทธิภาพยิ่งขึ้น.
- จบการศึกษาระดับ ปริญญาตรี สาขาวิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ สารสนเทศ หรือ สาขาอื่นๆ ที่เกี่ยวข้อง.
- มีประสบการณ์ในการวิเคราะห์ปรับปรุงข้อมูลส่วนกลาง ระบบงาน SAP 2 ปีขึ้นไป.
- มีความสามารถในการวิเคราะห์และออกแบบระบบงาน วางแผน ประสานและติดตามงาน.
- มีความรู้ Software Development Life Cycle (SDLC) และ SAP.
- มีความคิดสร้างสรรค์ และรับผิดชอบในการปฏิบัติงาน.
- สามารถในการให้คำแนะนำและการติดตามข้อมูลข่าวสาร.
- มีความรู้ภาษาอังกฤษในระดับดี.
- สถานที่ปฏิบัติงาน: เดอะมอลล์รามคำแหง (สำนักงานใหญ่), Airport Link รามคำแหง.
Skills:
SQL, Python, SAS
Job type:
Full-time
Salary:
negotiable
- Manage and plan the data direction and strategy for business need.
- Drive successful of data insight initiatives and effective collaboration with stakeholders.
- Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
- Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
- Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
- Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
- 5 years of experience as a data analyst or business data analyst.
- Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with data studio, Big Query.
- Experience with R, Python, SAS, SPSS, other analytic tools.
- Experience supporting and working with cross-functional teams in a dynamic environment..
Skills:
Product Development, Tableau, SQL
Job type:
Full-time
Salary:
negotiable
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Combine models through ensemble modeling.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
- Proven experience as a Data Scientist or Data Analyst.
- Experience in data mining.
- Experience using business intelligence tools (e.g. Tableau).
- Knowledge of SQL and Python.
- Understanding of machine-learning and operations research.
- Analytical mind and business acumen.
- Strong math skills (e.g. statistics).
- Problem-solving aptitude.
- Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
- 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).
- 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.
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