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Skills:
SQL, MySQL, Big Data
Job type:
Full-time
Salary:
negotiable
- Design, develop, and maintain scalable data pipelines.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specification.
- Analyze and understand Business Data in Logical and Physical Models.
- Optimize and improve existing data infrastructure for performance and scalability.
- Ensure data quality and integrity across various data sources.
- Develop and maintain documentation for data engineering processes.
- Skills and Qualifications.
- Bachelor s degree or higher in Computer Engineering, Computer Science, or IT-related fields.
- Fluent in English: TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL).
- Experience with big data technologies (e.g., Hadoop, Spark, HANA, Snowflake).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Strong programming skills in languages such as Python, Java, or Scala.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- 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 ( สด.8 หรือ สด. 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.
5 days ago
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Experience:
5 years required
Skills:
Data Analysis, Automation, Python
Job type:
Full-time
Salary:
negotiable
- Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
- Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
- Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
- Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
- Collaborate with internal team and partner to scale up development to production.
- Maintain and fine tune existing analytic model in order to ensure model accuracy.
- Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
- Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
- Be Project manager for Data project and manager project scope, timeline, and budget.
- Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
- Control / manage / govern Level 2 support, identify, fix and configuration related problems.
- Keep maintaining/up to date of data modelling and training model etc.
- Run through Data flow diagram for model development.
- EDUCATION.
- Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
- EXPERIENCE.
- At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
- Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
- Experience developing and deploying machine learning model in production environment.
- Knowledge in oil and gas business processes is preferrable.
- OTHER REQUIREMENTS.
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Experience:
3 years required
Skills:
Finance, SQL, Tableau
Job type:
Full-time
Salary:
negotiable
- Work closely with a diverse set of stakeholders in Finance and other parts of the organization.
- Consult stakeholders to propose the best suited data solution.
- Build end-to-end solutions including data workflows, dashboards, reports etc.
- Become familiar with financial data ecosystem at Agoda.
- Help the Finance Analytics team drive value for the Finance department and Agoda as a whole.
- Undergraduate degree.
- 3+ years of relevant experience using Business Intelligence (BI) & analytics tools (like SQL, Tableau, Metabase, or similar).
- Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential.
- Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail.
- High sense of ownership and growth mindset, ability to be self-directed.
- Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable.
- Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally.
- Advanced Excel modelling (OLAP cubes & VBA a bonus).
- Accounting/Financial knowledge and commercial acumen.
- Solid technical/functional knowledge in statistics.
- Familiarity with scrum/agile methodology.
- Other helpful skills - T-SQL, batch scripting, ODBC, data mining, Hadoop.
- Experience with Wallet and Financial Payment systems, including integration and data analysis.
- Understanding of digital payment processes and financial transaction data.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
2 days ago
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Experience:
6 years required
Skills:
Big Data, Good Communication Skills, Scala
Job type:
Full-time
Salary:
negotiable
- Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams.
- Translate business requirements to technical solutions leveraging strong business acumen.
- Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms.
- Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
- Provide architectural expertise to sales, project and other analytics teams.
- Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions.
- Provide solution oversight to delivery architects and teams.
- Skills and attributes for success.
- 6-8 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
- Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
- Ability to estimate complexity, effort and cost.
- Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.
- Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
- Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
- Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques.
- Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
- An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
- Ideally, you ll also have.
- Experience in engaging with both technical and non-technical stakeholders.
- Strong consulting experience and background, including engaging directly with clients.
- Demonstrable Cloud experience with Azure, AWS or GCP.
- Configuration and management of databases.
- Experience with big data tools such as Hadoop, Spark, Kafka.
- Experience with AWS and MS cloud services.
- Python, SQL, Java, C++, Scala.
- Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
- What working at EY offers.
- Support, coaching and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that s right for you.
- about EY
- As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
- If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
- Join us in building a better working world. Apply now!.
3 days ago
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Experience:
2 years required
Skills:
Big Data, Good Communication Skills, Scala
Job type:
Full-time
Salary:
negotiable
- You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
- You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
- You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
- Outputs include workshop sessions and documentation including mapping documents.
- Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
- Skills and attributes for success.
- 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
- Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
- Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
- Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
- Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
- Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
- An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
- Ideally, you ll also have.
- Experience in engaging with both technical and non-technical stakeholders.
- Strong consulting experience and background, including engaging directly with clients.
- Demonstrable Cloud experience with Azure, AWS or GCP.
- Configuration and management of databases.
- Experience with big data tools such as Hadoop, Spark, Kafka.
- Experience with AWS and MS cloud services.
- Python, SQL, Java, C++, Scala.
- Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
- What working at EY offers.
- Support, coaching and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that s right for you.
- about EY
- As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
- If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
- Join us in building a better working world. Apply now!.
3 days ago
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Skills:
Big Data, Research, Statistics
Job type:
Full-time
Salary:
negotiable
- Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
- Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
- Work with developers and a variety of business owners to deliver daily results with the best quality.
- Research discover and harness new ideas that can make a difference.
- What You'll Need to Succeed.
- 4+ years hands-on data science experience.
- Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
- Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
- Can lead, work independently as well as play a key role in a team.
- Good communication and interpersonal skills for working in a multicultural work environment.
- It's Great if You Have.
- PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
- Experience in NLP, image processing and/or recommendation systems.
- Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
- Experience in data science for e-commerce and/or OTA.
- We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
6 days ago
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Skills:
Big Data, Research, Statistics
Job type:
Full-time
Salary:
negotiable
- Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
- Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
- Work with developers and a variety of business owners to deliver daily results with the best quality.
- Research discover and harness new ideas that can make a difference.
- What You'll Need to Succeed.
- 4+ years hands-on data science experience.
- Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
- Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
- Can lead, work independently as well as play a key role in a team.
- Good communication and interpersonal skills for working in a multicultural work environment.
- It's Great if You Have.
- PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
- Experience in NLP, image processing and/or recommendation systems.
- Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
- Experience in data science for e-commerce and/or OTA.
- We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
12 days ago
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Skills:
ETL, SQL, Data Analysis
Job type:
Full-time
Salary:
negotiable
- Data Pipeline Development: Create and maintain optimal data pipeline architecture.
- Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
- Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
- Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
- Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
- Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
- Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
- Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
- Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
- Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
- Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
- Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
- Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
- Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
- Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
- Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.
5 days ago
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Skills:
ETL, Python, Java
Job type:
Full-time
Salary:
negotiable
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Implement and optimize data storage solutions, including data warehouses and data lakes.
- Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
- Ensure data quality, consistency, and reliability across all data systems.
- Develop and maintain data models and schemas.
- Implement data security and access control measures.
- Optimize query performance and data retrieval processes.
- Evaluate and integrate new data technologies and tools.
- Mentor junior data engineers and provide technical leadership.
- Collaborate with cross-functional teams to support data-driven decision-making.
- RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or related roles.
- Strong programming skills in Python, Java, or Scala.
- Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
- Proficiency in SQL and experience with both relational and NoSQL databases.
- Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
- Knowledge of data modeling, data warehousing, and ETL best practices.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
3 days ago
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