- No elements found. Consider changing the search query.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Launch your career in Technology by contributing to live projects with leading technology, collaborating with and being mentored by world class talent.
- Progress through a 12-month development journey aiming to build foundational skills that are key for your future success.
- Participate in group projects which are aligned to LSEG s sustainability priorities.
- Access opportunities to earn industry recognized qualifications.
- Connect with global early careers community and opportunities and contribute to wider society via CSR initiatives and volunteering opportunities.
- Our graduates join us on a permanent basis, and from day one you will be aligned to a division, which will allow you to develop within a secure framework. During the recruitment process we will get to know your skills and interest and how they align to the needs of the business, to allow us to place you in the right division. What we are looking for: We are passionate about recruiting people who have a genuine curiosity about Technology and strive to pursue a Technology career path, as evidenced by their studies, extracurriculars or work experience. It s important to us that you can also understand the breadth of our organisation, how it functions and the vital role that technology plays in supporting LSEG and our clients. You will have a strong interest in technology proven either via your work experience, extracurricular activities, or academic studies. For instance, you may have secured an internship in a technology role or focused on technology as part of a university project. You may have learnt how to code or how to use a particular technology.
- You should have a demonstrable interest in financial markets, which you ve built through your studies, work experience or extracurricular activities.
- A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
- Individuals who can connect the dots and think strategically.
- The environment we work in is fast paced, you ll need to demonstrate focus, resilience and the flexibility to adapt to changing demands.
- People who can collaborate with others, using their communication skills in the process.
- Ideal candidates will have the rights to work in the Romania without restrictions.
- We are considering candidates beyond the core software degrees (e.g. computer science, software engineering, Mathematics and Informatics) and candidate with physics, engineering, electronic degree who can demonstrate an interest in Technology as evidenced by extracurriculars or work experience, or personal projects can apply.
- Application close: 31st January, however we recommend an early application because we consider candidates on a rolling basis. Due to the volume of applications, we might close the applications earlier, so we recommend an early application. Recruitment Process: The first stage of the recruitment process involves making an application and submitting your resume.
- The next stage of the application process is an untimed Immersive Online Assessment. The assessment is designed to give you an insight into what it s like to work at LSEG.
- The third stage is a video interview where you will answer a series of questions using a strength-based-interview style.
- The final stage is a half day assessment centre which involves several different types of exercises - further information is provided at the point of invite.
- Please review all the graduate programme opportunities and make one application If you make more than one application, we will review your first application only. Please note, all our assessment centres are held virtually
- Life at LSEG At LSEG, we provide our employees with a comprehensive benefits portfolio as part of a competitive total rewards package. Our benefit plans are designed to supplement the financial, emotional and physical wellbeing of our employees and their families at all stages of their life. We encourage an appreciative, collaborative and inclusive culture that promotes employee and organisational wellbeing. We believe hybrid working makes more possible and recognise difference as a good thing. We want to set everyone up to bring their best self to work. Everyone will spend time with colleagues in the office, but you ll be trusted to work flexibly, in a way that delivers excellence. Career Stage: Associate London Stock Exchange Group (LSEG) Information: 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.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
- Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
- Oversee the development and management of complex ETL/ELT processes for data ingesti ...
- Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
- Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
- Administer and optimize cloud-based data warehouse solutions and associated data lakes.
- Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
- Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
- Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
- At least 5 years of experience working in a data engineering or related position.
- Proficient in advanced SQL, including query optimization and performance tuning.
- Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
- Skilled in using Python for data processing and advanced pipeline development.
- Experienced with tools and technologies for data ingestion, connectivity, and management.
- Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
- Excellent analytical and problem-solving skills.
- Communication and teamwork skills.
- Ability to plan and manage tasks effectively.
āļāļąāļāļĐāļ°:
ETL, Compliance, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
ETL, Power BI, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢāļāļāļāđāļāļ Data model āļāļĩāđāļĢāļāļāļĢāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļĒāļ°āļĒāļēāļ§.
- āļāđāļ§āļĒāļ§āļēāļāđāļāļāļāļēāļĢāļŠāļĢāđāļēāļ Data mart āđāļŦāđāđāļŦāļĄāļēāļ°āļāļąāļ use case āļāđāļēāļāđ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄ ETL / Data Engineer āđāļāļ·āđāļāļāļąāļ schema, pipeline āđāļŦāđāļāļĢāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ.
- āļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āđāļāļĨ requirement āļāļļāļĢāļāļīāļāļĄāļēāđāļāđāļ solution āđāļāļīāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĩ.
- āļāļģāļŦāļāđāļēāļāļĩāđāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļŦāđāļāļąāļāļŦāļāđāļ§āļĒāļāļļāļĢāļāļīāļ.
- āļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Dashboard / Report āļāļ Power BI āļāļĒāđāļēāļ advance.
- āļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļ DWH āđāļāļĒāđāļāđ SQL āļāļĩāđāļāļąāļāļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģ data wrangling.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļāļŠāļēāļĒāļāļēāļ Data (BA āļŦāļĢāļ·āļ SA) 5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāļ āļēāļĐāļē SQL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļ Visualization Tool āđāļāđāļ Power BI āđāļĨāļ°āļŦāļĢāļ·āļ Data tools āļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāļąāļ Data.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļ Data Warehouse Concept, ETL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļāļāđāļāļ Data model, Data Mart.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°/āđāļāđāđāļāļāļąāļāļŦāļē.
- Contact Information:-.
- K. Sawarin Tel.
- Office of Human Capital.
- DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
- F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
- MRT QSNCC Station Exit 1.
āļāļąāļāļĐāļ°:
Python, SQL, Java
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
- Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
- Data Transformation: Write data transformation jobs through code to optimize data processing.
- Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
- LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
- Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
- Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
- Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
- Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
- Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems..
- Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
- Experience: At least 3 years of experience in data engineering.
- Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
- Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
- Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
- Desirable.
- System Design: Knowledge of system design and platform thinking to build sustainable solutions.
- Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
- Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
- API Development: Experience with API design to facilitate integration of LLMs with other systems.
- Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
- Visualization Solution: Skills in design and develop dashboard for analytic & insight.
- Agile Methodologies: Experience with agile software delivery and CI/CD processes.
āļāļąāļāļĐāļ°:
Java, JSON, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ60,000 - āļŋ85,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor's degree or higher Computer Science, Software Engineering, or a related field.
- At least 3 years in system analysis and design.
- Knowledge of IT infrastructure, cloud technologies, and system integration.
- Strong technical expertise in networking, storage, and databases.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Proficiency with specific tools and programming languages may be required (e.g., Java, JSON, SQL).
- Familiarity with software development methodologies like Agile.
- Ability to work collaboratively in a team environment.
- Good English communication.
- Please note that we will get in touch with shortlisted candidates only.
- 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/bprivacynoticeen).
- 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
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: Talent Acquisition Center.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, ETL, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
- Define and implement data flows through/ and around digital products.
- Participate in data modeling and testing to ensure smooth operations.
- Extract relevant data to solve analytical problems, and ensure development teams have the required data.
- Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
- Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
- Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
- Track analytics impact on business, and provide recommendation for better result.
- Monitor market watch, and provide recommendation to improve efficiency of current projects.
- Professional Knowledge & Experiences.
- Bachelor s Degree in computer science, statistics, or related technical discipline.
- 5+ years experience with advanced data management system and master data management.
- Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
- Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
- Clear understanding in different data domains of operations, customers, etc.
- Ability to quickly learn new technologies.
- Additional Desirable Qualification.
- CORE Competencies.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Power BI, SQL, Analytical Thinking
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Integrity: Be honest and ethical | Do what is right.
- Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
- Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
- Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
- Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
- Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
- Design and implement scalable logical and physical data models following enterprise standards.
- Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
- Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
- Analyze business data requirements and translate them into technical specifications and solutions.
- Maintain clear documentation for data pipelines, processes, and workflows.
- Skills and Qualifications.
- Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
- 0-5 years of experience as a Data Engineer or related roles.
- Strong SQL skills and experience with data modeling (e.g., star schema).
- Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
- Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
- Excellent written and verbal communication skills and ability to work collaboratively in team environments.
- Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
- Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
- DBT certifications (Analytics Engineering, DBT Architect).
- Azure certifications (AZ 900, DP 900).
- Experience with data warehouse technologies (e.g., Snowflake, HANA).
- Experience with programming languages for data manipulation (e.g., Python).
- Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Experience or knowledge of Agile methodologies.
- Experience with Qlik Replicate, NiFi, Fivetran).
- Experience with programming skills in languages such as Python, or Java.
- English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
- Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
- Military Documents ( āļŠāļ.8 āļŦāļĢāļ·āļ āļŠāļ. 43 ) - for male only.
- Your benefits.
- An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
- Competitive benefits and compensation.
- Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
- Limit out-of- pocket for IPD.
- Dental fee coverage.
- Annual medical check-up.
- Provident fund contribution rate 5% to 15% of salary.
- Contribution 5% of salary to employee savings plan.
- Housing loan subsidy.
- Workplace flexibility.
- 10 to 20 days annual vacation.
- 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
- Skills training & development program.
- Tuition assistance.
- Eligibility and details may vary according to work location, service year and conditions in each program/plan.
- Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
- Application Process.
- Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
- For more information about business solicitation and recruiting scams, please click here.
- We thank you for your interest in ExxonMobil. .
- Stay connected with us.
- Learn more at our website.
- Follow us onLinkedIn and X.
- Like us on Facebook.
- Subscribe our channel at YouTube.
- Equal Opportunity Employer.
- ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
- Corporate Separateness Statement.
- Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
- Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
āļāļąāļāļĐāļ°:
Java, DevOps, Docker
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collaborate with business stakeholders to gather and understand system requirements.
- Conduct thorough analysis of business processes and user needs to formulate effective Java-based solutions.
- Design and architect Java-based systems, ensuring scalability, reliability, and performance.
- Develop system specifications, including flowcharts, diagrams, and documentation.
- Maintain comprehensive documentation of system designs, configurations, and changes.
- Exposure in DevOps toolchain and able to integrate with DevOps toolchain.
- Exposure in Docker, Kubernetes and Cloud platforms.
- Strong experience in reviewing code and investigating issues.
- Strong experience in performing root-cause analysis and preliminary problem diagnosis.
- Be a Thought Leader who has the capability to provide technical guidance for a team.
- Able to define the flow of data between the applications that must be integrated and map business process activities to the applications that support them.
- Bachelor s degree/Master s degree in Computer Science, Computer Engineering or related fields.
- At least 5 years in a Tech Lead role with Banking business knowledge is an advantage.
- Strong proficiency in Java programming language and related frameworks (Spring, Hibernate, etc.) and Golang.
- Experience of multiple frontend technologies like Angular,React, NodeJS, JavaScript etc.).
- Very good understanding of Object-Oriented Design (OOD).
- Experience with test-driven development.
- Experience with databases (e.g. Microsoft SQL, Oracle).
- Experience working in Banking/ Financial Payment Service projects.
- Experience in working with and applying Design patterns to solve problems.
- Knowledge of API/microservices development.
- Knowledge of IT governance, IT Development and operations methods (e.g. SDLC, Agile, Scrum, DevOps).
- Knowledge OpenShift platform.
- Strong experience in performing root-cause analysis and preliminary problem diagnosis.
- Experience in Cloud Native development, docker, and kubernetes.
- Please note that we will get in touch with shortlisted candidates only.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
- LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/b/privacynoticeen).
- The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
āļāļąāļāļĐāļ°:
Salesforce, Sales, Scrum
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for the executing on the day-to-day configuration, support, maintenance and improvement of our Salesforce, Consumer Goods Cloud applications.
- Analyze support issues and develop metrics to identify common themes that may indicate the need for additional business user training and potential business process and/or system changes, together with identifying ongoing operational improvements.
- Provide quality end user support in a timely, consistent and efficient manner.
- Ensure system changes are executed to minimize impact to the production system.
- Responsible for ensuring Helpdesk and Support tools, processes and system documentation.
- Responsible for Salesforces user creation and maintenance, including role and profile maintenance.
- Working with and escalating issues to the Saelsforces support partner.
- Bachelor s degree or higher in Computer Science, Information Technology, Software Engineering, or a related field.
- At least 3 years of experience with Salesforce administrator / support and hands-on experience with Sales Cloud.
- Strong understanding of Salesforce best practices and functionality.
- Strong data management abilities.
- Previous experience working in a SCRUM or agile environment preferred.
- Demonstrates logical and lateral thinking considering all angles in their decision making.
- Creative and analytical thinker with strong problem-solving skills.
- Location: BTS Ekkamai
- Working Day: Mon-Fri.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Social Media Management, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ45,000
- AI-Driven Content Creation: āđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļ AI (āđāļāđāļ ChatGPT, Claude, Midjourney, Canva AI) āđāļāļāļēāļĢāļāļīāļāđāļāļāļāļąāļ, āđāļāļĩāļĒāļāļāļāļāļ§āļēāļĄ, āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļŠāļĢāđāļēāļāļ āļēāļāļāļĢāļ°āļāļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļēāļĢāļāļĨāļīāļāļāļāļāđāļāļāļāđ.
- Social Media Management: āļ§āļēāļāđāļāļāđāļĨāļ°āļāļđāđāļĨāļāļēāļĢāļēāļāļāļēāļĢāđāļāļŠāļāđāļāļāđāļāļĨāļāļāļāļĢāđāļĄāļāđāļēāļāđ (Facebook, TikTok, IG, LinkedIn) āđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļŠāļĄāđāļģāđāļŠāļĄāļāđāļĨāļ°āļāļĢāļāļāļĨāļļāđāļĄāđāļāđāļēāļŦāļĄāļēāļĒ.
- Strategy & Trends: āļāļīāļāļāļēāļĄāđāļāļĢāļāļāđ Social Media āđāļĨāļ°āđāļāļĢāļ·āđāļāļāļĄāļ·āļ AI āđāļŦāļĄāđāđ āđāļāļ·āđāļāļāļģāļĄāļēāļāļĢāļąāļāđāļāđāļāļąāļāļāļĨāļĒāļļāļāļāđāļāļāļāđāļāļĢāļāļāđāļāļĒāļđāđāđāļŠāļĄāļ.
- Community & Engagement: āļāļāļāđāļāđāļāļąāļāļāļđāđāļāļīāļāļāļēāļĄāļāđāļ§āļĒāļ āļēāļĐāļēāļāļĩāđāđāļāđāļāļāļĢāļĢāļĄāļāļēāļāļī (Human Touch).
- Performance Analysis: āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļŦāļĨāļąāļāļāđāļēāļ āđāļĨāļ°āļāļģ Data āļĄāļēāļāļĢāļąāļāļāļĢāļļāļ Prompt āļŦāļĢāļ·āļāđāļāļ§āļāļēāļāļāļēāļĢāļāļģāļāļāļāđāļāļāļāđāđāļŦāđāļāļĩāļĒāļīāđāļāļāļķāđāļ.
- Collaboration & Ad-hoc Tasks: āļĢāđāļ§āļĄāļĄāļ·āļāļāļąāļāļāļĩāļĄāļāļēāļāđāļāđāļāļĢāđāļāļāļāđāļāļīāđāļĻāļĐ āđāļĨāļ° āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļāđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāđāļāđāļēāļŦāļĄāļēāļĒāļĢāļ§āļĄāļāļāļāļāļĩāļĄ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Social Media Marketing āļŦāļĢāļ·āļ Content Creator 3 āļāļĩāļāļķāđāļāđāļ.
- AI Proficiency (āļŠāļģāļāļąāļ): āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāļĩāļĒāļ Prompt (Prompt Engineering) āļāļĩāđāļāļĩ āļŠāļēāļĄāļēāļĢāļāļŠāļąāđāļāļāļēāļ AI āđāļŦāđāđāļāđāļāļĨāļĨāļąāļāļāđāļāļĩāđāļāļĢāļāđāļ (āļāļąāđāļāļāļēāļāđāļāļĩāļĒāļāđāļĨāļ°āļāļēāļāļ āļēāļ).
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļĢāļīāļĒāļāļĢāļĢāļĄāļāļēāļĢāđāļāđ AI (AI Ethics) āđāļĨāļ°āļĨāļīāļāļŠāļīāļāļāļīāđ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļ·āđāļāļāļēāļāđāļāđ āđāļāđāļ Canva, CapCut āļŦāļĢāļ·āļ Adobe Creative Cloud (AI Features).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļĨāđāļēāđāļĢāļ·āđāļāļ (Storytelling) āļāļĩāđāļāļĩ āđāļāļĢāļēāļ° AI āļāļ·āļāđāļāļĢāļ·āđāļāļāļĄāļ·āļ āđāļāđāļāļļāļāļāļ·āļāļāļđāđāļāļģāļāļąāļ.
- āļĢāļąāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāđāļāļāđāļāđāļĨāļĒāļĩāđāļŦāļĄāđāđ āđāļĨāļ°āļāļĢāļąāļāļāļąāļ§āđāļ§.
- āļĢāļđāļāđāļāļāļāļēāļĢāļāļģāļāļēāļ Hybrid Working (āđāļāđāļēāļāļāļāļāļīāļĻāļŠāļĨāļąāļ Work from Home)
- āļāļāļāļāļļāļāļŠāļģāļĢāļāļāđāļĨāļĩāđāļĒāļāļāļĩāļ (Provident Fund)
- āđāļāļāļąāļŠāļāļĢāļ°āļāļģāļāļĩ (āļāļēāļĄāļāļĨāļāļĢāļ°āļāļāļāļāļēāļĢ)
- āļāļīāļāļēāļĢāļāļēāļāļĢāļąāļāđāļāļīāļāđāļāļ·āļāļāļāļĢāļ°āļāļģāļāļĩ (āļāļēāļĄāļāļĨāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ)
- āļāļīāļāļāļĢāļĢāļĄāļāļąāļāļāļēāļāļļāļāļĨāļēāļāļĢāđāļĨāļ°āļāļēāļĢāļāļķāļāļāļāļĢāļĄ (Training & Development)
- āļāļīāļāļāļĢāļĢāļĄāļāđāļāļāđāļāļĩāđāļĒāļ§āļāļĢāļ°āļāļģāļāļĩ (Company Outing)
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ
- āļ§āļąāļāļŦāļĒāļļāļāļāļąāļāļāđāļāļāļāļĢāļ°āļāļģāļāļĩ
- āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ.
āļāļąāļāļĐāļ°:
Salesforce, Compliance, Data Warehousing, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce.
- Design, build, and present hands-on Proof of Concepts (POCs) and demonstrations for Data Cloud and Agentforce, showcasing their power and viability to technical stakeholders.
- Explain the technical and business benefits of the Salesforce Customer 360 platform, with a strong focus on Data Cloud and Agentforce, to IT and technical stakeholders.
- Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilisation.
- Advise CIO/CTO/CXO-level contacts and their IT teams on adopting cloud architectures, particularly how to leverage unified customer data and generative AI effectively.
- Answer deep technical questions related to the capabilities and integration of Salesforce Data Cloud, AI, and Agentforce solutions.
- Establish close relationships with customer technical stakeholders and act as a trusted advisor on data and AI strategy.
- Respond to RFPs, focusing on the technical components of data, AI, and integration.
- Coach and mentor fellow pre-sales colleagues on the technical aspects of Data Cloud and Agentforce.
- Be a thought leader on specific technology topics like Generative AI and Data Strategy.
- Drive innovation projects with impact (POCs, MVPs).
- Maintain awareness of technical best practices related to data governance, security, and compliance.
- Proven track record of running hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions.
- Relevant background and deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lake, etc.).
- Fluent in English and local language (Thai).
- Experience in pre-sales, e.g., solution engineering or technical architecture.
- Multi-year experience in software, system, or enterprise architecture disciplines.
- Strong understanding of data integration patterns, data synchronisation, and data volume considerations in a cloud environment.
- Good understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, and multi-tiered infrastructure.
- General interest in staying at the forefront of current technology developments and keeping knowledge up to date.
- Direct experience with Salesforce Data Cloud, Agentforce, Marketing Cloud, or Service Cloud (Agentforce) solutions.
- Experience with Large Language Models (LLMs) and Generative AI architectures.
- Salesforce Certified Architect or relevant Data/AI certifications (e.g., AWS, Azure, GCP Data/ML certifications).
- Knowledge of relevant data privacy and compliance requirements is a plus.
- Knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality.
- Unleash Your Potential.
- When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world.
- Accommodations.
- If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
- Posting Statement.
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
AutoCAD, Visio, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for planning preventive maintenance schedules for the electrical system.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementing Electrical such as MU, TR, MDB, GEN, UPS, RECT, BATT, ATS.
- Bachelor degree of Engineering, Electrical engineering or related field.
- More than 5 years of experience in maintenance of electrical systems such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS: implement and support electrical systems in buildings or Data Centers.
- At least 1 years experience in designing electrical systems (such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS). implement, and support for electrical systems in building.
- Able to use the program AutoCAD, Visio.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial for both reading and writing.
- Work Location: TrueIDC - Bangna Site (KM26).
āļāļąāļāļĐāļ°:
Data Analysis, SQL, Problem Solving, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
- Implement data solutions and data comprehensiveness for data customers.
- Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
- Retrieve and prepare data (automated if possible) to support business data analysis.
- Ensure adherence to the highest standards in data privacy protection and data governance.
- Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
- Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
- Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
- Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
- Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
- Experience in data processing batch / real time / nearly realtime.
- Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
- Experience with web or software development with Java,Python or similar.
- Experience with Agile methodology is a plus.
- Good in communication and writing in English.
- Good interpersonal and communication skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementation of Mechanical such as comfort air, precision air.
- Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
- Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
- Bachelor degree of Engineering, Mechanical engineering or related field.
- At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
- At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
- Able to Air - Diagram and Psychrometric chart knowledge.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial.
- Work Location: TrueIDC - Bangna Site (KM26).
āļāļąāļāļĐāļ°:
ISO 27001, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢ Monitoring āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļąāļāļāļēāļĢāļĢāļ°āļāļāļāļ·āđāļāļāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļ āđāļāļāđāļē āđāļĨāļ°āļĢāļ°āļāļāļāļĢāļąāļāļāļēāļāļēāļĻ āļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļēāļĢ.
- āļāļāļāļŠāļāļāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļ āļāļēāļĢāļāļīāļāļāļąāđāļāđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāļĢāļ°āļāļāļāļāļāļāļđāđāļāļĢāļīāļāļēāļĢ (vendor) āđāļāļ·āđāļāđāļŦāđāļāļđāļāļāđāļāļāđāļĨāļ°āļŠāļĄāļāļđāļĢāļāđāļāļēāļĄāļŦāļĨāļąāļāļāļāļīāļāļąāļāļī.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļēāļĢāļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāđāļĨāļ°āļāļēāļĢāļāđāļāļĄāđāļāļĄ (Preventive Maintenance) āļĢāļ°āļāļāļāļ·āđāļāļāļēāļāļāđāļēāļāđ āđāļāļĢāļ·āđāļāļāļāļģāđāļāļīāļāđāļāļāđāļē Generator, āđāļāļĢāļ·āđāļāļāļŠāļģāļĢāļāļāđāļāļāđāļē UPS, āļĢāļ°āļāļāļāļđāđāđāļāļāđāļē, āļĢāļ°āļāļāļāļĢāļąāļāļāļēāļāļēāļĻ āđāļĨāļ°āļāļēāļĢāļāļīāļāļāļąāđāļāļāļļāļāļāļĢāļāđāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ (Network) āđāļāđāļāļāđāļ.
- āđāļāđāļ 1st level support & troubleshooting āļāļāļāļĢāļ°āļāļ Facility āđāļ Data Center āđāļāđāļ āļĢāļ°āļāļ Network, āļĢāļ°āļāļāđāļāļāđāļē, āļĢāļ°āļāļāļāļĢāļąāļāļāļēāļāļēāļĻ āđāļāđāļāļāđāļ.
- āļāļąāļāļāļģāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļģāļāļēāļāđāļāļāļēāļĢāļāļđāđāļĨāļĢāļ°āļāļāļāļ·āđāļāļāļēāļ āđāļāļĒāļāļīāļāļāļēāļĄāļĄāļēāļāļĢāļēāļāļēāļ ISO āļŦāļĢāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (āđāļāđāļ ISO 20000 āļāđāļēāļāļāļĢāļīāļāļēāļĢ, ISO 27001 āļāđāļēāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ,ISO 50001 āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļĨāļąāļāļāļēāļ āđāļĨāļ°āļāļ·āđāļāđ āđāļāđāļ ISO22301, PCIDSS, TCOS) āļĢāļ§āļĄāļāļąāđāļāļĢāļđāļāđāļāļāđāļāļāļąāļāļāļķāļ, āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ.
- āļŠāļĢāļļāļāđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļĨāļŠāļģāļŦāļĢāļąāļāļāļąāļāļŦāļēāļ§āļīāļāļĪāļāļīāđāļ āđ āļāđāļāļŦāļąāļ§āļŦāļāđāļēāļāļĩāļĄ āļĢāļ§āļĄāļāļąāđāļ āļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāļāļīāļāļī,āļĢāļēāļĒāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļāļĢāļēāļĒāļ§āļąāļ, āļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āļāđāļ§āļĒ.
- Bachelor s degree in electrical power, mechanic or related fields.
- Thai nationality, Male, Age 20 - 25 years old.
- Have basic technical knowledge in Data Center facilities (Electrical/Mechanical).
- Able to work under pressure.
- Able to work with a team.
- Fair communication in English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop machine learning models such as credit model, income estimation model and fraud model.
- Research on cutting-edge technology to enhance existing model performance.
- Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
- Develop sentimental analysis model in order to support collection strategy.
- Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
- 2-5 years of experiences in programming languages such as Python, SQL or Scala.
- 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
- Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
- Experience with source version control (Git, Bitbucket).
- Proven knowledge on Rest API, Docker, Google Big Query, VScode.
- Strong analytical skills and data-driven thinking.
- Strong understanding of quantitative analysis methods in relation to financial institutions.
- Ability to clearly communicate modeling results to a wide range of audiences.
- Nice to have.
- Experience in image processing or natural language processing (NLP).
- Solid understanding in collection model.
- Familiar with MLOps concepts.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Procurement
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
- 5 years of experience in bidding, designing, operating, and commissioning of mechanical systems.
- Experience with mission-critical facility mechanical infrastructure systems.
- Knowledge of electrical and control systems.
- Knowledge of mechanical systems commissioning.
- Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department - cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements - even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
- With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
- As a Data Center Mechanical Engineer, you will be involved in program-level engineering projects and the modification of existing infrastructures. You will provide and prepare all types of documents including engineering reports, design documents, Total Cost of Ownership (TCO) analysis, drawing markup, budget, schedule, and more. You will ensure our facilities built execution meets project-specific goals on safety, quality, schedule, and cost. You will provide guidance and leadership to all stakeholders involved in the project on mechanical discipline related issues. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
- Collaborate with the core team to understand, develop, and update data center mechanical designs, starting from Basis of Design (BOD) to Issue for Construction (IFC) documents, for data center project build-outs and major infrastructure upgrades to all levels of testing and commissioning works.
- Manage mechanical engineering issues during concept design, BOD, detailed design and IFC, and support procurement in Statement of Work (SOW) preparation and bidding technical clarification.
- Be accountable for key mechanical equipment manufacturing monitoring, delivery, and installation on site. Identify and resolve issues raised by the cross-functional teams.
- Update and maintain the internal design specifications, drawings, and standards in accordance with the latest configurations.
- Develop next-generation mechanical system products to meet the company's strategies.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Compliance, Mechanical Engineering, AutoCAD, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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 5 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: 217161 Job Function: Engineering
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
- 1
- 2
- 3
- 4
āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ
