เงื่อนไขการค้นหา

ทักษะ:

SQL, Tableau, Power BI

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Statistical Knowledge.
• Mathematical Ability.
• Programming languages, such as SQL.
• Analytic tools such as Tableau, Power BI.
• TeraData, Big data Hadoop Tech, Cloud Tech.
• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Experienced in designing and architecture BI / Data Analytics Solutions is preferred.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ERP, SQL, Power BI, Data Analysis, Business Statistics / Analysis, Thai, English

ประเภทงาน:

งานประจำ

• Participate with customer and business users to gather requirements and summarize key points for project development.
• Integrate data from various business systems/sources (e.g., ERP, CRM, Other) to ensure comprehensive and accurate analysis.
• Design and develop ETL (Extract, Transform, Load) processes to extract data from various sources.
• Prepare the data so it is ready for analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Design, Develop and implement data models to serve customer requirement.
• Design, Build and maintain dashboards and reports that visualize key metrics and performance indicators..
• Bachelor Degree in Data Analytic, Computer Engineering, Computer Science, MIS, Statistics or related fields.
• At least 2-3 years experience in Data Analysis or Business Analysis.
• Proficiency in data tools such as SQL, Excel, BI (Power BI and Tableau), or Python.
• Experience in ERP, CRM, Cloud Technology, Software Development is preferred.
• Very good problem solving, negotiation, presentation and communication skill.
• Good written and verbal English communication.
• A collaborative team player with effective communication abilities..

ทักษะ:

Internal Audit, Assurance, Risk Management, English

ประเภทงาน:

งานประจำ

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.
• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.
• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.
• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.
• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit.
• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.
• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.
• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.
• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group.
• Bachelor s degree in business, mathematics, computer science, or management information systems.
• 8 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.
• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.
• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.
• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.
• Able to manage a team under pressure and deadlines.
• Proficient in computer literacy, especially tools for data analytics.
• Good command of English, both written and spoken.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• 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.
• (https://krungsri.com/b/privacynoticeen).
• 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.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LINE: Krungsri Career.

ทักษะ:

SAP, Excel, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลความต้องการของตลาด (Demand) และแนวโน้มการขาย เพื่อจัดทำ Demand Forecast ที่แม่นยำ.
• รวบรวมและตรวจสอบข้อมูลจากฝ่ายการขาย การตลาด และฝ่ายวางแผนการผลิต เพื่อให้การคาดการณ์สอดคล้องกัน.
• วางแผนและควบคุมปริมาณสินค้าคงคลัง (Inventory) ให้เหมาะสมกับความต้องการของตลาด.
• ประสานงานกับฝ่ายผลิต ฝ่ายจัดซื้อ และฝ่ายโลจิสติกส์ เพื่อให้มีสินค้าพร้อมจำหน่ายตามแผน.
• วิเคราะห์ความเสี่ยงและโอกาสด้านอุปสงค์และอุปทาน พร้อมเสนอแนวทางแก้ไขเมื่อมีความคลาดเคลื่อนระหว่างแผนและความเป็นจริง.
• จัดทำรายงานการคาดการณ์ยอดขาย สถานะสินค้า และประสิทธิภาพการวางแผนเพื่อเสนอผู้บริหาร.
• ปรับปรุงกระบวนการวางแผนด้วยการใช้เครื่องมือ Data Analytics และระบบ SAP.
• วุฒิปริญญาตรีขึ้นไป สาขา Supply Chain & Logistics Management, Business Analytics, Economics, Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Demand & Supply Analyst, หรือ Supply Chain Data Analyst อย่างน้อย 3-5 ปี.
• มีทักษะในการวิเคราะห์ข้อมูล (Excel, Power BI, Python).
• มีความเข้าใจระบบ ERP (เช่น SAP, Oracle).

ประเภทงาน:

งานประจำ

• Partner with business teams to analyze requirements and identify data sources needed for.
• analytics/reporting applications with medium level complexity.Conduct full data lifecycle analysis to develop new insights for analytics and reporting.
• dashboardsProvide recommendations to address data quality issues with source systems.
• Communicate approaches with cross functional teams.

ทักษะ:

SAP, Excel, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลความต้องการของตลาด (Demand) และแนวโน้มการขาย เพื่อจัดทำ Demand Forecast ที่แม่นยำ.
• รวบรวมและตรวจสอบข้อมูลจากฝ่ายการขาย การตลาด และฝ่ายวางแผนการผลิต เพื่อให้การคาดการณ์สอดคล้องกัน.
• วางแผนและควบคุมปริมาณสินค้าคงคลัง (Inventory) ให้เหมาะสมกับความต้องการของตลาด.
• ประสานงานกับฝ่ายผลิต ฝ่ายจัดซื้อ และฝ่ายโลจิสติกส์ เพื่อให้มีสินค้าพร้อมจำหน่ายตามแผน.
• วิเคราะห์ความเสี่ยงและโอกาสด้านอุปสงค์และอุปทาน พร้อมเสนอแนวทางแก้ไขเมื่อมีความคลาดเคลื่อนระหว่างแผนและความเป็นจริง.
• จัดทำรายงานการคาดการณ์ยอดขาย สถานะสินค้า และประสิทธิภาพการวางแผนเพื่อเสนอผู้บริหาร.
• ปรับปรุงกระบวนการวางแผนด้วยการใช้เครื่องมือ Data Analytics และระบบ SAP.
• วุฒิปริญญาตรีขึ้นไป สาขา Supply Chain & Logistics Management, Business Analytics, Economics, Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Demand & Supply Analyst, หรือ Supply Chain Data Analyst อย่างน้อย 3-5 ปี.
• มีทักษะในการวิเคราะห์ข้อมูล (Excel, Power BI, Python).
• มีความเข้าใจระบบ ERP (เช่น SAP, Oracle).

ทักษะ:

Industrial Engineering, Finance, Project Management

ประเภทงาน:

งานประจำ

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Power BI, SAP, Salesforce, Business Statistics / Analysis

ประเภทงาน:

งานประจำ

• Collect, process, and analyze both internal and external datasets to identify trends, patterns, and opportunities..
• Evaluate the effectiveness and ROI of sales promotions and marketing campaigns by analyzing performance data..
• Analyze sales data by product, region, and channel to provide insights that support the sales and marketing teams..
• Conduct in-depth competitor analysis to understand market positioning, pricing strategies, and promotional activities..
• Develop and maintain dashboards, reports, and data visualizations to clearly communicate findings to key stakeholders and management..
• Collaborate with marketing, sales, and product development teams to provide data-driven recommendations for strategic improvements..
• Bachelor s Degree in Data Science, Statistics, Economics, Business Administration, or a related quantitative field..
• Proven experience as a Data Analyst, preferably within the FMCG, retail, or food and beverage industry..
• Strong proficiency in SQL and advanced skills in Microsoft Excel (e.g., PivotTables, Power Query)..
• Hands-on experience with data visualization tools such as Power BI, or Google Data Studio..
• Excellent analytical and problem-solving skills with a strong attention to detail..
• Strong communication skills with the ability to present complex information in a clear and concise manner..

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst assigns to work on Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an 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 (2 days minimum 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).

ประเภทงาน:

งานประจำ

• We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.
• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
• Optimize data storage and retrieval processes for improved performance.
• Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security measures and access controls.
• Troubleshoot data-related issues and optimize system performance.
• Stay up-to-date with emerging technologies and industry trends in data engineering.
• Document data architectures, pipelines, and processes.
• Bachelor's degree in Computer Science, Engineering, or a related fields 2. 2-4 years of experience in data engineering or similar roles 3. Strong programming skills in Python, Java, or Scala 4. Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL) 5. Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services 6. Knowledge of data warehousing concepts and ETL best practices 7. Experience with version control systems (e.g., Git) 8. Understanding of data cleansing, data modeling and database design principles 9. Solid problem-solving skills and attention to detail 10. Good communication skills and ability to work with technical and non-technical team members.
• Experience with Azure data platform (ADF, Databrick) 2. Familiarity with data visualization tools (e.g., Tableau, Power BI) 3. Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources) 4. Experience with containerization technologies (e.g., Docker).
• Experience to deal with large data and optimization skill in development.
• Understanding of machine learning concepts and data science workflows.

ทักษะ:

Research, ETL, Automation

ประเภทงาน:

งานประจำ

• Lead the design and development of data architecture, ensuring scalability, security, and alignment with business strategy.
• Oversee the collection, transformation, and integration of data from multiple internal and external sources.
• Conduct advanced research and troubleshooting to address complex business and technical problems.
• Design, build, and optimize data pipelines and ETL processes to handle large-scale and real-time data.
• Implement automation solutions to minimize manual intervention and improve data efficiency.
• Provide technical leadership and mentorship to junior engineers, ensuring best practices in coding, testing, and deployment.
• Collaborate with cross-functional stakeholders including Data Scientists, Analysts, and Business Leaders to deliver actionable insights.
• Evaluate and recommend new tools, frameworks, and technologies to enhance data engineering capabilities.
• Job SpecificationBachelor s Degree in Information Technology, Computer Science, Statistics, Mathematics, Business, or a related field (Master s Degree is a plus).
• Minimum of 5 years experience in data engineering, with at least 2 years in a senior or lead role.
• Proven expertise in the data analytics lifecycle, including business problem framing, KPI/metrics design, exploratory analysis, and presenting data insights.
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and advanced programming skills in Python, Java, PySpark.
• Solid knowledge of data processing, ETL frameworks, data warehousing, and messaging queue systems (e.g., Kafka).
• Demonstrated experience in designing highly scalable, resilient, and secure data systems.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, SQL, Excel

ประเภทงาน:

งานประจำ

• Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
• Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
• Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
• Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
• Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
• Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
• Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
• Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
• Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analysis or a related field.
• Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
• Strong analytical and problem-solving skills with focused attention to detail.
• Strong organization and project management skills.
• Superb communication and presentation skills.
• Ability to communicate complex data insights optimally to stakeholders.
• Preferred: Experience with Datadog or Big Panda.
• Experience with data modelling.
• Experience in tech industry.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. 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. 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.

ทักษะ:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• 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 2 years of experience in data engineering and at least 3 years as data scientist.
• 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.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• 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!.

ทักษะ:

Compliance, AutoCAD

ประเภทงาน:

งานประจำ

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Job QualificationsBachelor s degree in mechanical engineering or a related field is required.
• more than 5 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

System Security, Good Communication Skills, Project Management

ประเภทงาน:

งานประจำ

• Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs).
• Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures.
• Performs installation, repair, and preventative maintenance of computer systems and related technologies.
• Tracks and records system performance and utilization metrics.
• Analyses IT systems to identify areas for improvement and developing solutions to optimize business processes and IT operations.
• Participates in the development of IT infrastructure projects.
• Maintains access control, data integrity, and file system security for computer / data center environment.
• Performs any other duties as required by the IT Operations management team.
• To thrive in this role, you need to have: Developing knowledge of data center applications and systems.
• Developing proficiency in hardware and software systems like servers, networks and databases.
• Ability to collect and analyse system performance data to identify issues and improve IT systems.
• Ability to effectively communicate technical information to non-technical people.
• Good communication skills, both written and verbal.
• Good analytical and problem-solving skills to troubleshoot issues and devise efficient solutions.
• Developing project management skills.
• Academic qualifications and certifications: Bachelor's degree or equivalent in Computer Science or Information Technology or related field.
• Relevant vendor certifications such as ITIL foundation.
• Additional beneficial certifications such as CNET and CDCDP etc.
• Required experience: Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting.
• Moderate level experience in a similar role, with strong understanding of IT and data center operations.
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

ทักษะ:

Statistics, Excel, Python

ประเภทงาน:

งานประจำ

• Bachelor or Master's degree in Statistics, Engineering, or MIS.
• Experience in Excel VBA, Python, Analytics and Modeling.
• Good in negotiation skill, presentation skill, interpersonal skill.
• Good logical thinking, integrity mindset, external focus and results oriented.

ทักษะ:

Research, Automation, Statistics

ประเภทงาน:

งานประจำ

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation..
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 5 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).