เงื่อนไขการค้นหา

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

• 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.

ทักษะ:

Tableau, Power BI, Excel

ประเภทงาน:

งานประจำ

• Leads and improves analytical programs and presents the results.
• Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.
• Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.
• Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.
• Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.
• Lead the roll-out and development of digital solution per business needs.

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:

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.

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:

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).

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).

ทักษะ:

Automation, ETL, Big Data

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to understand complex business requirements and translate them into proper data solutions.
• Lead discussions with stakeholders (e.g., business domain experts, data analysts, data scientists, data governance) to design and deliver data solutions and pipelines.
• Designs and maintains data models that support business requirements and analytical needs.
• Builds and optimizes data pipelines for efficient data ingestion, transformation, and delivery (for both on premise platform and/or on cloud platform).
• Ensures proper data governance, quality, and lifecycle management across platforms.
• Proactively identify opportunities for data process improvements and automation.
• Mentor junior data engineers, promote team knowledge sharing, and review code to ensure adherence to coding standards, documentation, testing, and version control.
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• 5-7 years of experience in database design, data integration, data pipeline development, and/or ETL-ELT process.
• Strong understanding of data architecture, data modeling and data solutions.
• Experience in Banking & Financial industry is an advantage.
• Proven ability to work independently and lead technical solution within a team.
• Database (RDBMS), data warehouse, DataMart, Big data technology is required (at least one).
• Data programming language ( ie. SQL, Python, PySpark) is required.
• ETL/ELT, Data pipeline.
• Experience in RDBMS, big data technology (Hadoop), AWS cloud 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 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).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full pot ...
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!
• Design and optimize data pipelines and ETL/ELT workflows using Databricks and Apache Spark.
• Build and maintain data models and data lakes to support analytics and reporting.
• Develop reusable Python code for transformation, orchestration, and automation.
• Implement and tune complex PySpark and SQL queries for large-scale data processing.
• Collaborate with Data Scientists, Analysts, and Business Units to deliver scalable solutions.
• Ensure data quality, governance, and metadata management across projects.
• Manage Azure cloud services for data infrastructure and deployment.
• Support daily operations and performance of the Databricks platform.
• ABOUT YOU
• 3+ years of experiences in Data Engineering.
• Experience with Databricks, Unity Catalog, Apache Spark, and distributed data processing.
• Strong proficiency in Python, PySpark, SQL.
• Knowledge of data warehousing concepts, data modeling, and performance optimization.
• Experience with Azure cloud data platforms (e.g., Azure Synapse).
• Familiarity with CI/CD and version control (Git, BitBucket).
• Understanding of real-time data streaming and tools such as Qlik for replication.
• Academic background: Bachelor's or Master's in Computer Science, Engineering, or related field.
• Fluent English. Another language is a plus.
• You have excellent problem-solving skills and can work independently as well as in a team.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.

ทักษะ:

Compliance, ETL, Python

ประเภทงาน:

งานประจำ

• Design and implement frameworks for data quality validation, including rules, thresholds, and metrics to ensure high-quality data.
• Automate data quality monitoring and anomaly detection using tools or custom scripts.
• Collaborate with data stewards to resolve data quality issues and improve processes.
• Develop and maintain centralized metadata repositories to ensure accurate and up-to-date metadata.
• Automate metadata extraction, data lineage tracking, and validation processes.
• Integrate metadata management solutions with tools like Informatica EDC, Axon, or similar platforms.
• Work closely with the Data Governance team to implement data governance policies and data standards across the data lifecycle.
• Create and maintain pipelines to enable data lineage, audit trails, and compliance reporting.
• Support the adoption of governance tools and frameworks to ensure consistent data usage.
• Build robust, scalable, and secure ETL/ELT pipelines for structured and unstructured data.
• Optimize data ingestion, transformation, and storage for hybrid (on-premises and on cloud) environments.
• Ensure data pipeline reliability and performance through monitoring and testing.
• Work closely with data stewards, data analysts, and data governance teams to align engineering efforts with business needs.
• Mentor junior team members on best practices in data engineering and governance.
• 5-10 years of experience in data engineering, with a focus on data quality, metadata, data lineage and data governance..
• Strong programming skills in Python, SQL, or Scala; experience with modern data frameworks such as PySpark and dbt (Data Build Tool) is a plus..
• Expertise in ETL/ELT tools like Informatica Intelligent Data Management Cloud (IDMC), Talend, Apache NiFi, or similar cloud-native solutions..
• Proficiency with metadata management platforms such as Informatica EDC, Collibra, or Alation, including automation of metadata ingestion, classification, and lineage mapping..
• Hands-on experience with data quality tools (e.g., Informatica Data Engineering Quality (DEQ), Collibra Data Quality & Observability, Great Expectations) and custom validation scripting..
• Strong knowledge of data governance frameworks and tools (e.g., Informatica Axon, Collibra Governance, Alation Data Governance)..
• Experience with cloud data platforms and databases (e.g., Snowflake, Databricks, Oracle, SQL Server), as well as data lake/lakehouse architectures..
• Familiarity with multi-cloud and hybrid environments (e.g., AWS, Azure, Google Cloud Platform) and their native data services..
• Metadata automation (auto-tagging, semantic enrichment, and data catalog population).
• Anomaly detection in pipelines and datasets using AI-driven observability tools.
• Data quality improvement through AI-based rules generation, pattern recognition, and automated remediation suggestions...
• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to mentor and guide junior team members..

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• 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.

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety..
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Python, Automation, English

ประเภทงาน:

งานประจำ

• Developing data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Collaborate with stakeholders to prepare, process, and validate data for business needs.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field.
• 1-3 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
• Experience in project & stakeholder management responsibilities.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented and enjoy building from the ground up.
• Fresh Graduates are welcome.

ทักษะ:

Compliance, RESTful, JSON

ประเภทงาน:

งานประจำ

• Lead and mentor a team of Level 3 technical supports, including setting goals, monitoring their knowledge and performance, and conducting reviews to drive team growth and efficiency.
• Provide investigating and resolving production issues within agreed SLAs., ensuring the service s stability and reliability.
• Handle escalated technical issues, acting as a point of contact to ensure timely and professional resolution of complex customer or partner engagements.
• Work closely with Development and other support teams to ensure timely escalation and resolution of high-severity incidents and communicate progress and status to the management team.
• Manage incident communications with stakeholders, including timely updates to management and business units.
• Ensure 24 7 support coverage (on-call rotation), maintaining SLA compliance and service reliability.
• Oversee API deployment, release validation, and post-release monitoring to ensure system stability.
• Implement and enforce best practices for API monitoring, alerting, and observability using tools such as Dynatrace or equivalent..
• Education.
• Bachelor s or Master s degree in Information Technology, Computer Science, Computer Engineering, Software Engineering, or related fields.
• Experience.
• 10+ years of experience in technical supports, with at least 3 years in a Team Lead position.
• Banking or financial services experience is a plus.
• Technical Skills.
• Strong knowledge of RESTful APIs, HTTP protocol, OAuth, JSON, SOAP, XML, Swagger).
• Solid knowledge of monitoring & logging tools (e.g., Dynatrace, Kibana, ELK Stack, Grafana).
• Hands-on experience with OpenShift Container Platform (OCP), Kubernetes or Cloud.
• Strong understanding of operating systems (Windows, Linux), networks, and SQL.
• Familiarity with CI/CD pipelines, microservices and experience using API testing tools such as Postman.
• Strong analytical, troubleshooting, and debugging skills in distributed systems.
• Excellent leadership, communication, and stakeholder management skills.
• Strong problem-solving mindset with ability to make quick decisions under pressure.
• 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 ResourcesFunction 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Procurement, Electrical Engineering, Mechanical Engineering

ประเภทงาน:

งานประจำ

• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
• Responsible for the on-site management of sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
• Manage relationship with third party Colocation providers and their facility staff.
• Responsible for the operation of and management of both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Data Center capacity planning and reporting.
• Assist in the design and build out of new facilities.
• May assist in projects to increase current Facility efficiency.
• Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
• Deliver quality service and ensure all customer demands are met.
• Procurement for DCEO related expenditure.
• Responsible for asset and inventory management.
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• BASIC QUALIFICATIONS.
• 4+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility.
• Ability to participate in a 24 x 7 rotating shift roster.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

ทักษะ:

Compliance, ISO 27001

ประเภทงาน:

งานประจำ

• Lead shift operations, ensuring proper execution of inspections, monitoring, and preventive maintenance.
• Supervise and guide technicians/engineers; conduct shift handovers and maintain accurate reports and logs.
• Monitor and control critical systems (electrical, mechanical, and fire safety) to ensure stable operations.
• Monitor and control electrical systems (UPS, PDUs, switchgear), mechanical systems (CRAC/CRAH, chillers), and fire safety systems.
• Respond to alarms, incidents, or system faults per SOPs/EOPs, performing initial containment and escalation.
• Coordinate maintenance work, vendor activities, and ensure compliance with safety and work permit standards.
• Support clients and internal teams with access, troubleshooting, and on-site assistance.
• Maintain adherence to safety, security, and operational standards (ISO 27001, TIA-942, Uptime Tier).
• Job Qualifications.
• Bachelor s degree in Electrical, Mechanical, or related Engineering fields.
• Minimum 5 years of experience in data center, critical facility, or industrial plant operations.
• Strong understanding of electrical and HVAC systems, UPS, generators, BMS, and fire systems.
• Experience working in 24x7 rotating shifts.
• Fluent in English both written and verbal (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.
• Preferred Qualifications.
• Data center certifications such as CDCP, CDCS, or equivalent are a plus.
• Experience working in Tier III or Tier IV environments.
• Familiarity with ISO 27001, TIA-942, and safety protocols (e.g., Lockout-Tagout, EHS standards).
• Able to work independently and lead small teams during high-pressure situations.

ทักษะ:

Compliance, ISO 27001

ประเภทงาน:

งานประจำ

• Lead shift operations, ensuring proper execution of inspections, monitoring, and preventive maintenance.
• Supervise and guide technicians/engineers; conduct shift handovers and maintain accurate reports and logs.
• Monitor and control critical systems (electrical, mechanical, and fire safety) to ensure stable operations.
• Monitor and control electrical systems (UPS, PDUs, switchgear), mechanical systems (CRAC/CRAH, chillers), and fire safety systems.
• Respond to alarms, incidents, or system faults per SOPs/EOPs, performing initial containment and escalation.
• Coordinate maintenance work, vendor activities, and ensure compliance with safety and work permit standards.
• Support clients and internal teams with access, troubleshooting, and on-site assistance.
• Maintain adherence to safety, security, and operational standards (ISO 27001, TIA-942, Uptime Tier).
• Job Qualifications.
• Bachelor s degree in Electrical, Mechanical, or related Engineering fields.
• Minimum 5 years of experience in data center, critical facility, or industrial plant operations.
• Strong understanding of electrical and HVAC systems, UPS, generators, BMS, and fire systems.
• Experience working in 24x7 rotating shifts.
• Fluent in English both written and verbal (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.
• Preferred Qualifications.
• Data center certifications such as CDCP, CDCS, or equivalent are a plus.
• Experience working in Tier III or Tier IV environments.
• Familiarity with ISO 27001, TIA-942, and safety protocols (e.g., Lockout-Tagout, EHS standards).
• Able to work independently and lead small teams during high-pressure situations.

ทักษะ:

Sales, Finance, Statistics

ประเภทงาน:

งานประจำ

• Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra s Retail & Wholesale businesses.
• Develop and execute a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
• Serve as a bridge between business and technology, ensuring AI adoption and scaling across multiple business units.
• Stay updated on global and local AI trends, including Generative AI, personalization, forecasting, and optimization, to strengthen CP Axtra s competitive edge.
• Analytics and AI Execution.
• Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
• Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
• Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
• Business Partnership.
• Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption.
• Build strong relationships with stakeholders to align priorities, communicate trade-offs, and manage expectations effectively.
• Act as a trusted advisor to senior executives, translating complex AI insights into actionable recommendations.
• Evangelize the value of AI and data-driven decision-making across the organization.
• People Leadership and Collaboration.
• Mentor and coach a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous learning.
• Promote cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver integrated solutions.
• Encourage knowledge sharing and build internal AI/ML capability to strengthen organizational maturity.
• Performance Monitoring and Optimization.
• Define and monitor success metrics for AI initiatives, such as sales uplift, campaign ROI, operational cost reduction, and customer lifetime value.
• Continuously assess and optimize AI-driven processes to maximize business impact.
• Share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• 5+ years of experience in data science, advanced analytics, or AI applications (experienced in Retail or Wholesale domain preferred).
• Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
• Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
• Strong stakeholder management and communication skills across technical and business functions.
• Proven ability to prioritize and deliver projects with business impact.
• Understanding of retail and wholesale operations, including customer journey, pricing, promotion, assortment, and supply chain optimization.
• Demonstrated success in driving AI adoption, gaining executive buy-in, and scaling solutions across organizations.
• 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:

Automation, TypeScript, Javascript

ประเภทงาน:

งานประจำ

• Architectural Excellence -Engage in deep architecture reviews and technology assessments to drive continuous improvement and innovation.
• Stakeholder Collaboration - Collaborate with multiple stakeholders to understand their requirements and support them on their cloud adoption and migration journey.
• Technical Excellence- Translate developer needs into technical requirements and optimize cloud architectures for high availability, scalability, and performance.
• Development Leadership- Lead a dedicated development team in designing, developing, and delivering cutting-edge business automation capabilities for our Cloud Centre of Excellence.
• Cloud Infrastructure Mastery- Design and implement scalable, secure, and cost-effective cloud infrastructure solutions using major cloud providers such as Azure and Huawei, tailored to project requirements.
• Technical Guidance- Provide valuable technical guidance and support to foster a collaborative and innovative work environment.
• Stakeholder Engagement- Interface with stakeholders, including developers, project managers, and business owners, to gather feedback and refine our self-service platform.
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply..
• Proven Expertise: Minimum of 5 years of experience in consulting and client-side roles, or a combination of both.
• Hands-On Leadership: Demonstrate at least 5 years of hands-on development experience before.
• transitioning to an engineering management or architecture role.
• Language Proficiency: Possess current or previous experience in one or more programming languages such as TypeScript/JavaScript, Java, Python, or Kotlin, with a deep understanding of their pros and cons.
• Tech Ecosystem Acumen: Navigate the modern technology ecosystem with ease, encompassing cloud providers, commerce vendors, experience platforms, event brokers, data processing platforms, analytics, business intelligence, big data, and AI.
• Cloud & DevOps: Exhibit hands-on experience with cloud architecture (preferably Azure), DevOps, Site Reliability Engineering, and Quality Engineering best practices. Experience around different cloud pricing and strategies.
• Lifecycle Expertise: Embrace a broad understanding of the entire project lifecycle, from project inception to MVP scoping, agile development, and operational excellence.
• Agile Knowledge: Bring working knowledge of agile delivery and scaled agile methodologies, ideally on the 'architecture runway' side.
• Continuous Architecture: Contribute your experience with 'real-life' continuous architecture practices, preferably within an architecture guild/team in a large organization.