เงื่อนไขการค้นหา

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, TensorFlow, Statistics

ประเภทงาน:

งานประจำ

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultant across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements:A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 114154In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• Understand RDT (Regulatory Data Transformation) requirement from BOT (Bank of Thailand).
• Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
• Provide data validation rules.
• Confirm final data extraction logic with IT-RDT team.
• Support for any DQ issue and solution.
• Maintain RDT Center parameters.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• 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.
• Experience in regulatory data management, its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills.
• Well-versed RDT Regulation Literacy.
• Data profiling with variety data sources.
• Interpersonal skill with IT/Domain Expert/Data Owner, able to communicate well.
• Advance SQL skill is a must for this role.
• Banking background will be advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (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.
• 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:

Risk Management

ประเภทงาน:

งานประจำ

• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Procurement, Electrical Engineering, Mechanical Engineering

ประเภทงาน:

งานประจำ

• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
• Responsible for the on-site management of sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
• Manage relationship with third party Colocation providers and their facility staff.
• Responsible for the operation of and management of both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Data Center capacity planning and reporting.
• Assist in the design and build out of new facilities.
• May assist in projects to increase current Facility efficiency.
• Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
• Deliver quality service and ensure all customer demands are met.
• Procurement for DCEO related expenditure.
• Responsible for asset and inventory management.
• 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.
• 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
• 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.
• 4+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility.
• Ability to participate in a 24 x 7 rotating shift roster.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, English

ประเภทงาน:

งานประจำ

• 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.
• 4+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility.
• Ability to participate in a 24 x 7 rotating shift roster.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Legal, Financial Analysis, Project Management, English

ประเภทงาน:

งานประจำ

• Direct and manage contract guard force to run daily data center operations.
• Handle site security incidents, escalations or any other security related issues.
• Provide after-hours on-call management support and participate in emergent, large scale event response when needed.
• Participate in re-occurring data center security audits and reviews.
• Executes established compliance processes with AWS policies, standards, guidelines and relevant legal and regulatory requirements.
• Provides input on, and may develop security methodologies, policies and procedures.
• Write reports and communicate with management on the status of physical security operations.
• Oversee new security construction or retrofit projects.
• Manage the security P&L for assigned site(s), assist management with financial analysis and contribute to financial decisions for security requirements.
• Collaborate with other teams to protect AWS Data Center personnel, information and assets.
• A day in the life
• Mission: Deliver pioneering physical security by working vigorously to earn and keep customer trust; providing a safe and secure environment for our people, assets, and customer data.
• Vision: Develop exceptional security professionals, consistently apply security processes, and pioneer new technologies that effectively balance security requirements with operational needs.
• Diverse Experiences
• AWS 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.
• 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.
• BASIC QUALIFICATIONS.
• 3+ year s experience managing contract security and physical security operation programs such as Access Control/Intrusion Detection and CCTV Surveillance systems.
• 3+ years in Project Management experience and creating process improvement procedure.
• Experience in managing vendors/vendor teams.
• PREFERRED QUALIFICATIONS.
• Bachelor s degree and or equivalent professional experience in corporate or government security environment.
• 3+ years experience creating and implementing emergency planning programs, physical security countermeasures.
• Excellent oral and written communication skills.
• Proficiency in both Thai and English language.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• 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).
• Perform rack installs, rack decommissioning, and facility management.
• Provide operational readings and key performance indicators to make sure uptime is maintained.
• About AWS
• 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.
• Technical College Degree or Qualified Technical Diploma.
• Experience in mission critical environment with 5+ years of relevant work experience.
• An excellent understanding of the electrical and mechanical systems used in a data center, manufacturing or semiconductor environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• PREFERRED QUALIFICATIONS.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• Proficient in technical verbal and written communication skills.
• Data Center or facility experience is a plus advantage.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, Python, SQL, English

ประเภทงาน:

งานประจำ

• Planogram Optimization through space planning/management tools.
• Syndicated data (Nielsen, Kantar, Intage, Circana, etc.) management through budget ownership and stewarding agency relationships to drive max value, collaborating with country teams.
• Championing capability building of APAC teams in both POG optimization & Syn data through training and other means.
• Your role is pivotal in transforming data-driven insights into actionable strategies and elevating the commercial team's skills.
• Lead strategic KA customer focused Planogram (POG) optimization projects for APAC countries.
• Own and execute end-to-end planogram optimization projects for key APAC retailers using external tools (JDA, Tana power) and internal systems (POG Heatmap).
• Provide analytics-led insights for category management projects, JBPs, Range Reviews, POG proposals, including space-to-sales analysis, assortment optimization, and joint business plan inputs.
• Act as the subject matter expert for space planning and category management, supporting key customer presentations.
• Drive 3P Syndicated Data for APAC countries.
• Own overall APAC syn data budget, ensuring spending are optimized and aligned with strategic priorities.
• Own Area level Syn data reporting, working across Retail Analytics team members to deliver timely dashboards.
• Lead agency relationships at central level across APAC including contract renewals, cost negotiations, and subscription audits. o.
• Drive reporting cadence and own the annual/strategic presentations delivery by agencies, aligned to country & business/portfolio priorities.
• Champion capability building for POG optimization & Syndicated Data across APAC countries.
• Develop and share APAC-wide case studies and best practices, quantifying the business impact (e.g., sales lift, share gain) to build a repository of success stories.
• Design and deliver comprehensive training programs and workshops on POG optimization, category management principles, and the use of analytical tools to Key Account and Marketing teams. o.
• Guide country teams in maximizing value from Syn Data subscriptions, through training and best practice sharing.
• Foster a self-serve analytics culture by championing the use of data in daily decisionmaking across the commercial organization.
• Conduct workshops and "clinics" to provide ongoing support and upskill the commercial organization, fostering a community of POG & Syn Data -literate practitioners.
• Minimum bachelor's degree in Business, Analytics, or a related field; Master s degree is a plus.
• Must have min 5-7 years of experience in Planogram Management, Category Management, or Retail Analytics within the FMCG/CPG industry.
• Proven expertise in leading end-to-end POG projects and using specialized software (JDA Space Planning, Tana Power, or equivalent) is mandatory.
• Strong analytical skills with experience in retail data (POS, Syndicated Data).
• Strong financial acumen and budget and Syn Data agency / vendor management experience. Must be proficient with visualization tools like Power BI.
• Excellent communication, presentation, and influencing skills, with a proven ability to train and coach others.
• Experience working in a multi-country APAC environment is highly preferred.
• Fluent in English (verbal & written).
• Working knowledge with Python, SQL, SPSS.
• Working in or for countries: Japan, Korea, Taiwan, Australia, Thailand, Philippines, India, Singapore, Malaysia, Indonesia.
• Proven experience in creating training materials and delivering effective technical training to non-technical audiences.
• Excellent problem-solving skills and a passion for mastering and teaching complex tools.
• Thrive with an entrepreneurial mindset as an individual contributor.
• Team player and fosters connection by putting people first and building trusting relationships.
• Bangkok, Thailand.
• Bangalore, India.
• Jakarta, Indonesia.
• Taguig, PH.
• Worker Type: Permanent.
• Learn more about 3M s creative solutions to the world s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
• Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
• 3M Global Terms of Use and Privacy Statement.
• Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Assist in developing and maintaining data pipelines and ETL processes under guidance.
• Support workflow scheduling and monitoring using Apache Airflow.
• Work with large datasets using tools such as Apache Spark (training or hands-on exposure).
• Assist in developing backend/data services using Python or C# (.NET/.NET Core).
• Support database operations and basic optimization for MS SQL, PostgreSQL, or MySQL.
• Work with object storage solutions such as MinIO or similar platforms.
• Collaborate with data analysts and engineers to support data requirements.
• Help ensure data quality, integrity, and basic security practices across data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 1 - 2 years of experience as a Data Engineer or similar role.
• Basic proficiency in Python or C# (.NET/.NET Core).
• Familiarity with SQL and relational databases (MS SQL, PostgreSQL, MySQL).
• Familiarity with ClickHouse or other columnar databases is a plus.
• Exposure to Apache Airflow, Apache Spark, or similar tools is a plus.
• Understanding of basic ETL concepts and data processing workflows.
• Familiarity with object storage (e.g., MinIO) is a plus.
• Basic understanding of data warehousing or data modeling concepts.
• Strong willingness to learn, problem-solving mindset, and attention to detail.
• Good communication skills and ability to work in a team environment.
• Fluent in Thai with good command of English.

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Your missions
• Design, develop, and maintain scalable data pipelines (batch and real-time)
• Build and optimize data models, data warehouses, and data lakes
• Implement and manage ETL/ELT processes
• Work with cloud platforms (AWS, Azure, or GCP) for data solutions
• Ensure data quality, governance, and performance optimization
• Collaborate with data analysts, data scientists, and business stakeholders
• Troubleshoot and resolve data-related issues and bottlenecks
• Mentor and guide junior data engineers
• Contribute to architecture decisions and best practices
• Your profile
• 3-5+ years of experience in Data Engineering
• Strong expertise in ETL/ELT processes and data pipeline development
• Solid experience in data modeling (warehouse/lake design)
• Proficiency in SQL and data processing tools
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with Python, Spark, or similar technologies is a plus
• Strong analytical and problem-solving skills
• Ability to work independently and lead technical initiatives
• Good communication skills in English
• What we offer
• Opportunity to work on large-scale and impactful data projects
• Exposure to modern data stack and cloud technologies
• Career growth opportunities including technical leadership paths
• A collaborative and international work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

2 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Your missions
• Develop and maintain data ingestion pipelines from multiple data sources
• Support the design and execution of ETL/ELT processes
• Assist in building and optimizing data models and datasets
• Work with cloud-based data platforms (AWS, Azure, or GCP)
• Ensure data quality, consistency, and integrity across systems
• Monitor data pipelines and troubleshoot data-related issues
• Collaborate with data engineers, analysts, and business stakeholders
• Contribute to documentation and best practices for data processes
• Your profile
• 0-2 years of experience in Data Engineering, Data Analytics, or related field
• Basic understanding of ETL processes and data pipelines
• Knowledge of SQL and relational databases
• Familiarity with Python or other scripting languages is a plus
• Exposure to cloud platforms (AWS, Azure, or GCP) is an advantage
• Strong analytical and problem-solving skills
• Proactive mindset with willingness to learn and grow
• Good communication skills in English
• What we offer
• Opportunity to work on real-world data projects with international clients
• Exposure to modern data technologies and cloud environments
• Continuous learning through training and mentoring
• A dynamic, collaborative, and multicultural work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development, Publishing, Statistics

ประเภทงาน:

งานประจำ

• Department: Marketing.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Analyze data from various channels to develop business strategies, such as increasing sales, recommending suitable marketing campaigns, or providing insights for product development.
• Identify correlations across diverse data sources to perform a thorough analysis.
• Prepare data for analysis by designing data ingestion processes, creating data warehouses, defining related data dimensions, and ensuring data readiness. Additionally, determine methods for data publishing across different channels to maximize utility.
• Perform data visualization and reporting to communicate insights effectively..
• Bachelor s degree in Statistics, Finance, Economics, Computer Science, or a related field.
• At least 3 years of experience in data management and development.
• Advanced skills in Excel or Google Sheets.
• Previous experience with Power BI, Google Data Studio, or dashboards.
• Basic familiarity with tools such as Fanpage Karma or Supermetrics.
• Ability to manage and integrate data from multiple sources.
• Strong attention to detail, high responsibility, and at least 1 year of experience in the data field..
• ประสบการณ์ 1 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ทักษะ:

Compliance, Mechanical Engineering, AutoCAD, English

ประเภทงาน:

งานประจำ

• Preparing, scheduling, coordinating and monitoring the assigned engineering projects.
• Monitoring compliance to applicable codes, practices, QA/QC policies, performance standards and specifications.
• Interacting daily with the clients to interpret their needs and requirements and representing them in the field.
• Ensures policies, practices and procedures are understood and followed by direct reports, customers and stakeholders.
• Bachelor s Degree in Electrical or Mechanical Engineering.
• Engineering license is a must.
• Minimum 8-10 years work experience in Project Planning electrical system or fuel system experience in building,data center or oil and gas project.
• Excellent computer literacy and knowledge of design and visualization software.
• With strong interpersonal skills in maintaining client relationship.
• Good command of English communication.
• Must be a good team player and possess self-motivated driven working style.
• Excellent knowledge of design and visualisations software such as AutoCAD.
• Requisition Number: 229934 Job Function: Engineering

ประเภทงาน:

งานประจำ

• We are looking for a Data & AI Consultant (Mid-level) to support data-driven projects and AI initiatives.
• In this role, you will be responsible for preparing, transforming, and structuring data to enable efficient analytics and machine learning use cases, while ensuring alignment with business requirements.
• Your missions
• Design, develop, and maintain ETL pipelines and data workflows
• Prepare and structure data to support AI/ML and Data Science teams
• Build and optimize data models for analytics and reporting purposes
• Develop Power BI dashboards and visualizations for business stakeholders
• Ensure data quality, consistency, and integrity across systems
• Collaborate with data engineers, data scientists, and business teams
• Translate business needs into technical data solutions
• Support integration of data across multiple systems and sources
• Contribute to continuous improvement of data processes and architecture
• Your profile
• Mid-level experience in Data Engineering, Data Analytics, or related field
• Strong knowledge of ETL processes and data transformation
• Experience in data modeling and structuring datasets
• Hands-on experience with Power BI or similar BI tools
• Understanding of how to prepare data for AI/ML use cases
• Basic understanding of cloud environments (AWS, Azure, or GCP) is a plus
• Strong analytical and problem-solving mindset
• Good communication skills in English
• What we offer
• Opportunity to work on data and AI transformation projects
• Exposure to modern data stack and cloud technologies
• Continuous learning and professional development
• A collaborative, international, and dynamic work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

ETL, Automation, Scrum, English

ประเภทงาน:

งานประจำ

• Lead and strengthen a team of data analysts - fostering high performance, collaboration, and professional development.
• Own the data product - oversee the design, development, and maintenance of dashboards, data models, and reporting frameworks that provide visibility into IT assets and infrastructure.
• Build scalable data solutions - drive the implementation of ETL pipelines, automation, and data integrity practices.
• Partner with stakeholders - collaborate with Architecture, Engineering, and Operations to translate business requirements into actionable analytics and visualizations.
• Champion data governance - define and promote data quality standards, ensuring trustworthy, consistent data across the platform.
• Enable strategic outcomes - support initiatives such as infrastructure transformation, cyber risk analysis, and technology lifecycle planning with data-backed insights.
• Run agile delivery - apply agile methodologies and serve as Scrum Master to keep sprint goals on track.
• What You'll Bring.
• 8+ years in data analysis, business intelligence, or a related field.
• 3+ years leading data or analytics teams, ideally within technology or infrastructure domains.
• Strong hands-on experience with Power BI, Snowflake, SQL, and Python.
• Solid understanding of ETL processes, data warehousing, and database management.
• Familiarity with REST APIs and scripting for data automation.
• Experience overseeing CI/CD pipeline implementation and maintenance.
• Excellent English communication and stakeholder management - comfortable presenting to both technical and non-technical audiences.
• Strategic thinker who can balance operational delivery with long-term data capability building.
• A degree in IT, Computer Science, Technical Business Analysis or equivalent practical experience is welcomed, but not a barrier to applying.
• Bonus Skills.
• Broad awareness of IT infrastructure; compute, storage, operating systems, private/public cloud, and technology lifecycle.
• Experience with low-code/no-code platforms such as Power Apps, Power Automate or Retool.
• Background in UI/UX principles to guide dashboard and product design decisions.
• Why Join Us.
• Lead a purpose-driven team with real ownership and visibility.
• Access to professional development, mentoring, and career progression pathways.
• Flexible, hybrid working arrangements.
• The Infrastructure Platform Engineering (IPE) organisation is accountable for the engineering, automation, and operational reliability of Group Engineering s core infrastructure services including on premises data centres, compute platforms, storage, private cloud, virtualisation, databases, and middleware technologies. Our mandate is to modernise legacy infrastructure, uplift operational maturity, and deliver Infrastructure as a Service using automation-first engineering principles.
• Within IPE, the Infrastructure Consumption Platform (ICP) team provides the foundational data capabilities that enable evidence based engineering decisions across the entire infrastructure stack. We maintain authoritative infrastructure datasets, lifecycle intelligence, and analytics used to support capacity planning, refresh cycles, cyber risk management, and large-scale transformation programs.
• Manager
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject.
• If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Develop and maintain scalable data pipelines and ETL processes.
• Build and orchestrate workflows using Apache Airflow.
• Process large datasets using Apache Spark.
• Design and develop backend services using Python and C# (.NET/.NET Core).
• Manage and optimize databases including MS SQL, PostgreSQL, and MySQL.
• Work with object storage solutions such as MinIO.
• Collaborate with data analysts and software engineers to meet data needs.
• Ensure data quality, security, and integrity across all data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 3-5 years of experience as a Data Engineer or similar role.
• Proficient in Python and C# (.NET/.NET Core).
• Hands-on experience with Apache Airflow and Apache Spark.
• Familiarity with message queue or streaming platforms such as Kafka is a plus.
• Strong knowledge of relational databases: MS SQL, PostgreSQL, MySQL.
• Familiarity with ClickHouse or other columnar databases is a plus.
• Familiar with MinIO or other object storage platforms.
• Understanding of data warehousing concepts and data modeling.
• Strong problem-solving and communication skills.
• Good communication and teamwork skills.
• Thai native level with good command of English.

ทักษะ:

Product Owner, Business Development, Compliance

ประเภทงาน:

งานประจำ

• Define and execute a data strategy and roadmap for data intelligence, data governance, and data product owner to support business development and drive revenue growth.
• Oversee data-related functions, such as data governance, data intelligence, and data product owner and data intelligence, as well as enhancement of data analytics capabilities across the business.
• Provide expertise and consultation on leveraging data assets, industry-leading trends and modern data technologies.
• Seek out opportunities to tap into new and innovative data sources as well as create value from data in compliance with legal and ethical requirements.
• Promote a data-driven culture, data literacy and self-service business intelligence pertaining to data accessibility and data governance.
• Protect data, encourage data sharing and ensure that the data meets corporate standards for quality.
• Act as a trusted advisor to business leaders on how to leverage data for growth and efficiency.
• Define business-facing data governance principles to ensure data usability, quality, and compliance.
• Enable self-service analytics and promote data literacy across the organization.
• Lead cross-functional collaboration across business, technology, and external partners.
• Develop capabilities in product thinking, analytics translation, and business impact delivery.
• AI-Augmented data strategy to drive enterprise intelligence and Operational automation.