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Experience:

2 years required

Skills:

Big Data, Good Communication Skills, Scala

Job type:

Full-time

• 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!.

Job type:

Full-time

• บริหารพนักงาน และดูแลร้านบิ๊กซีมินิให้ได้คุณภาพตามเป้าหมายที่บริษัทกำหนด.
• เพศชาย/หญิง
• อายุ 24 - 50 ปี ทำงานเป็นกะได้ รักงานบริการ
• วุฒิ ม.3 ขึ้นไป
• ต้องมีประสบการณ์ด้านร้านสะดวกซื้อ 1 ปีขึ้นไป
• เงินเดือนเริ่มต้น 20,000 บาท + ค่าอาหาร 550 บาท + ค่ากะดึก + ค่าอื่น ฯ.

Job type:

Full-time

• บริหารพนักงาน และดูแลร้านบิ๊กซีมินิให้ได้คุณภาพตามเป้าหมายที่บริษัทกำหนด.
• เพศชาย/หญิง
• อายุ 24 - 50 ปี ทำงานเป็นกะได้ รักงานบริการ
• วุฒิ ม.3 ขึ้นไป
• ต้องมีประสบการณ์ด้านร้านสะดวกซื้อ 1 ปีขึ้นไป
• เงินเดือนเริ่มต้น 20,000 บาท + ค่าอาหาร + ค่ากะดึก + ค่าอื่น ฯ.

Job type:

Full-time

• บริหารพนักงาน และดูแลร้านบิ๊กซีมินิให้ได้คุณภาพตามที่บริษัทกำหนด.
• เพศชาย/หญิง
• อายุ 20 - 45 ปี ทำงานเป็นกะได้ รักงานบริการ
• วุฒิ ม.3 - ม.6 (มีประสบการณ์) ปวส - ปริญญาตรี (ไม่จำเป็นต้องมีประสบการณ์)
• วุฒิ ป.ตรี ขึ้นไป ไม่จำเป็นต้องมีประสบการณ์ หากต่ำกว่าวุฒิ ป.ตรี ต้องมีประสบการณ์ด้านร้านสะดวกซื้อมาก่อน
• ผ่านประสบการณ์ค้าปลีก และ สามารถโยกย้ายได้ภายใน จังหวัด จะพิจารณาเป็นพิเศษ
• เงินเดือนเริ่มต้น 14,000 บาท + ค่าอาหาร 550 บาท + ค่ากะดึก + ค่าอื่น ฯ.

Job type:

Full-time

• ขยายธุรกิจแฟรนไชส์บิ๊กซี มินิ โดยการหาผู้ประกอบการรายใหม่ และดำเนินการตามแนวทางการสรรหาผู้สนใจเข้าร่วมธุรกิจแฟรนไชส์.
• ติดต่อ และสร้างความสัมพันธ์กับผู้ประกอบการรายใหม่ผ่านช่องทางต่าง ๆ เช่น งานแสดงสินค้า สื่อออนไลน์ และกิจกรรมประชาสัมพันธ์.
• ต่อสัญญาแฟรนไชส์ บิ๊กซี มินิ เพื่อรักษาลูกค้ารายเดิมที่เปิดดำเนินการร้านค้าบิ๊กซี มินิ.
• บริหารความสัมพันธ์คู่ค้า ให้คำปรึกษาและแนะนำธุรกิจแฟรนไชส์ และนำเสนอข้อมูลและประโยชน์ของการร่วมธุรกิจแฟรนไชส์กับ Big C.
• รับผิดชอบงานอื่นๆที่เกี่ยวข้องกับสาขาแฟรนไชส์ในประเทศไทย.
• จบการศึกษาระดับปริญญาตรีขึ้นไป สาขาบริหารธุรกิจ การตลาด หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้านแฟรนไชส์ การบริหารร้านค้าปลีก หรือการขยายธุรกิจอย่างน้อย 3 - 5 ปี.
• มีความรู้และความเข้าใจในระบบแฟรนไชส์ วางแผนกลยุทธ์ วิเคราะห์ข้อมูล รวมถึงกฎหมายที่เกี่ยวข้อง.
• ทักษะการสื่อสาร การเจรจาต่อรอง และการบริหารความสัมพันธ์ที่ดี.
• สามารถเดินทางไปปฏิบัติงานนอกสถานที่ได้ตามความจำเป็น.

Job type:

Full-time

• Ensures all policies and procedures are effectively implemented and consistently followed in stores.
• Reviews and updates the store operation manual to ensure efficient and effective operation.
• Provides customer service at high and consistent level across the store network.
• Recommends and implements local sales initiatives and store sales incentives.
• Ensures that staff and stock levels are appropriate for sales maximization.
• Achieves sales growth consistent with the company business plan.
• Sets discretionary store expenditures and manages costs within approved budget.
• Manages and motivates store team to increase sales and ensure efficiency.
• Plans and directs store staffing to consistently provide excellent customer service.
• Develops the store team with succession plan to deliver the company growth.
• Performs all aspects of people management including recruiting, appraisals, induction and recruitment, goal setting and performance management.
• Ensures store environments are safe, clean and friendly to work and shop.
• Contributes to overall company performance.
• Handles special projects as required.
• Have full working rights for Thailand.
• Minimum 5 years of experience in retail/hypermarket business is a must.
• Minimum 3 years in branch management level.
• Demonstrate a high sense of urgency and always do what s right for customers.
• Entrepreneurial spirit, a vision for the excellent service store.
• Good command of English and computer literacy.
• Able to work in nationwide.

Skills:

Sales

Job type:

Full-time

• บริการลูกค้าอย่างมืออาชีพและเป็นมิตร เพื่อให้ลูกค้ามีประสบการณ์ที่ดีในการซื้อสินค้า.
• เสนอขายสินค้าและบริการของ Big C ให้กับลูกค้าเป้าหมาย ตอบสนองความต้องการของลูกค้าและปิดการขายได้อย่างมีประสิทธิภาพ.
• รักษาและปรับปรุงความสัมพันธ์ที่ดีกับลูกค้าประจำ เพื่อสร้างยอดขายที่สม่ำเสมอ.
• รายงานผลการปฏิบัติงานและแนวโน้มการขายให้ผู้บังคับบัญชา.
• ปฏิบัติงานอื่นๆ ตามที่ได้รับมอบหมาย.
• ทักษะ คุณสมบัติ และประสบการณ์:มีประสบการณ์ในการขายสินค้าหรือให้บริการลูกค้าอย่างน้อย 1 ปี พิจารณาผู้ที่มีประสบการณ์ในธุรกิจค้าปลีกเป็นพิเศษ.
• มีทักษะการสื่อสารและการเจรจาต่อรองที่ดี สามารถปรับตัวเข้ากับลูกค้าได้ดี.
• มีความกระตือรือร้น ใส่ใจในรายละเอียด และมุ่งมั่นที่จะบริการลูกค้าอย่างยอดเยี่ยม.
• มีความสามารถในการแก้ปัญหาและตัดสินใจได้อย่างรวดเร็ว.
• มีความคิดสร้างสรรค์ในการนำเสนอสินค้าและบริการให้น่าสนใจ.
• สมัครตำแหน่งนี้ ถ้าคุณกำลังมองหางานขายที่มีโอกาสเติบโต และต้องการเป็นส่วนหนึ่งของทีมงานที่ยอดเยี่ยมของ Big C

Skills:

Product Owner, Scrum, Project Management

Job type:

Full-time

• Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
• Defining the vision for the product team and maintaining a cohesive vision throughout the process.
• Creating a product road map based on this vision.
• Managing the product backlog and prioritizing the tasks based on changing requirements.
• Overseeing all stages of product creation, including design and development.
• Monitoring and evaluating product progress at each stage of the process.
• Working with the product team and end-users to deliver updates and status reports.
• Participating in Scrum meetings and product sprints.
• Bachelor degree.
• At least 4 years of working experience.
• At least 2 years of working experience in Project Management.
• In-depth knowledge of Scrum and Agile Software Development Methodology.
• Working knowledge of product development architecture.
• Proficiency in the use of analytic tools and strong analytical thinking.
• Ability to prioritize effectively.
• Contact Information:-.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Lao Peng Nguan Building, Tower 1.
• 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.

Skills:

Business Development, Data Analysis, SQL

Job type:

Full-time

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

Job type:

Full-time

• Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
• Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
• Job Scope.
• ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
• ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
• ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
• ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
• ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
• ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
• ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
• ꔷ Effective communicator with excellent presentation skills.
• ꔷ Self-motivated, strong ownership and strong team management skills.
• ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
• ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
• ꔷ Able to communicate in Chinese would be additional advantage.

Skills:

Excel, Power point, Power BI, English

Job type:

Full-time

• Bachelor's degree in IT, Supply Chain or any related fields.
• At least 5 years experienced in DC, Warehouse, Supply Chain and Logistics.
• Strong Analytical skills.
• Advance Excel/ Power Point.
• Power BI is preferred.
• SQL/ Python is preferred.
• Good command in English.

Skills:

ETL, Big Data, SQL

Job type:

Full-time

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Big Data, Research, Statistics

Job type:

Full-time

• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Job type:

Full-time

• About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

Skills:

Compliance, Legal, Risk Management

Job type:

Full-time

• Establish and maintain appropriate security measures for personal data protection to prevent unauthorized access, loss, alteration, or disclosure..
• Regularly review and update security measures to align with technological advancements and PDPA requirements..
• Ensure third-party vendors handling personal data comply with data protection regulations..
• Implement and oversee data retention and deletion processes per legal requirements..
• Develop a risk management system for PDPA compliance..
• Assess risks related to personal data processing, evaluate mitigation strategies, and audit IT systems for security compliance..
• Conduct periodic assessments of IT systems handling personal data..
• Evaluate the effectiveness of data protection measures in databases, applications, and information security frameworks..
• Bachelor s degree in Computer Science, IT Security, Management Information Systems, or a related field.
• 5-10 years of experience in Database Management, IT Security, or Data Privacy Compliance.
• Proficiency in database management (SQL Server, MySQL).
• Understanding of IT security, data governance or compliance frameworks.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

Skills:

Automation, Big Data, Accounting

Job type:

Full-time

• Oversee a Master Data specialist team that analyze and enrich master data elements and optimize the flow data between users and BUs.
• Serve as subject matter expert on Master Data Management for IT and Analytics initiatives.
• Be a Head of master data manages data governance and ensures data integrity by leading data management efforts across the company.
• Collaborate with IT to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements.
• Oversee initiatives for improving data management process.
• Mentor and coach team members on data management methodologies.
• Evaluate the performance of data systems and seek ways to enhance them.
• Troubleshoot and authorize the maintenance of data-related problems.
• Support team members in their day-to-day duties.
• BS degree in any fields.
• Proven working experience as Big Data Analytics.
• Proven knowledge of Data analytics and Report.
• Advanced computer skills on MS Office, accounting software and databases.
• Ability to manipulate large amounts of data.
• Ability to direct and supervise.

Job type:

Full-time

• Analyze client business processes and value chains, and benchmark client performance against data & AI leaders to identify opportunities to drive business value.
• Lead and contribute to the development of AI strategy and roadmap, including use case identification, business case development, and prioritization.
• Design the target operating model for Data & AI Center of Excellence.
• Conduct capabilities assessments regarding data & AI readiness and maturity.
• Collaborating with industry experts and client stakeholders to define benchmark-informed KPIs and success metrics.
• Creating executive-level deliverables including vision statements, maturity assessments, and transformation blueprints.
• 2-5 years of experience in business or technology strategy.
• Business case development.
• Operating model design.
• Capabilities- & Maturity Assessment.
• Strong client-facing skills, structured thinking, presentation skills and ability to drive workstream independently.
• Foundational understanding of how Data & AI helps address key business pain points regardless of industry.
• Experience in agri-business, supply chain, or industrial operations is highly desirable.
• Experience in a previous high impact strategy consulting role is highly desirable.
• This role is open for both Thai Nationals and Foreigners residing in Thailand.

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• 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).

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact : [email protected].
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