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Qualifications
Strong proficiency in SQL and experience with data modeling. Familiarity with Python or Java for data manipulation and analysis. Experience with data warehousing solutions and ETL processes. Understanding of cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team-oriented environment.
About the job
We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.
You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizing state-of-the-art technologies to optimize performance and scalability. If you thrive in a fast-paced environment and are eager to contribute to innovative data solutions, we want to hear from you!
About cube-asia
cube-asia is a leading data analytics company based in Bangkok, Thailand. We specialize in providing innovative data-driven solutions to help businesses make informed decisions. Our team is dedicated to pushing the boundaries of technology and data science, fostering an inclusive and dynamic workplace culture.
Join our dynamic team at joinmakropro as an Oracle Retail Analytics Data Warehouse Engineer. In this pivotal role, you will design, develop, and support robust analytics and reporting solutions for our retail data. We're seeking a candidate with a proven track record in Oracle Retail Analytics, OBIEE, BI Publisher, and Oracle Data Integrator, complemented by…
Role Summary We are seeking skilled Oracle Retail Techno-Functional Consultants with expertise in key Oracle Retail modules (RMS, ReIM, RPM, ReSA, and SIM). Candidates should possess robust technical skills in PL/SQL, Shell Scripting, Pro*C, Oracle Forms, Java, and related Oracle Retail technologies. The role requires collaboration with business and IT stakeholders to analyze requirements, design solutions, implement changes, troubleshoot production issues, and engage in enhancement and rollout projects.Remote candidates are welcome to apply.Functional Expertise (Oracle Retail – RMS, ReIM, RPM, ReSA, SIM)Work with business users to gather, analyze, and document requirements across merchandising, pricing, invoice matching, store operations, and sales audits.Deliver functional expertise in:RMS – item/SKU setup, purchase orders, transfers, inventory management, cost, and deals.ReIM – invoice matching, tolerance setup, discrepancy handling, supplier funding.RPM – price changes, promotions, markdowns, and clearance strategies.ReSA – sales audits, store sales data validation, error correction workflows.SIM – store inventory management and stock counts.Conduct fit-gap analysis and propose solutions in line with Oracle Retail best practices.Support UAT, prepare test scenarios, and assist business users with functional validation.Analyze and provide root-cause analysis for production issues, recommending fixes and workarounds.Technical Skills (Oracle Retail Core Technologies)Design and implement customizations, extensions, interfaces, and reports using:Oracle PL/SQL (packages, procedures, functions, views)Shell scripting for batch jobs and integrationsPro*C / batch programs utilized in Oracle RetailOracle Forms (when applicable) and Java componentsEnhance SQL/PLSQL for optimal performance and stability in high-volume retail environments.Provide support and troubleshoot batch processes, scheduled jobs, and EOD/EOM cycles.Prepare and maintain technical design documents, configuration documents, and deployment guides.
Your ChallengeJoin our innovative team as a Senior Software Engineer specializing in Oracle Retail Development at joinmakropro. You will collaborate with dynamic development teams and product managers to craft and implement high-quality backend solutions. Design scalable and secure applications, encompassing both client-side and server-side architecture. Your expertise will be pivotal in developing, testing, and maintaining efficient APIs while ensuring top-notch performance and reliability. Evaluate existing systems and strategize refactoring to meet enterprise architecture standards. Implement abstractions that facilitate interchangeable source and destination systems via connectors. As part of agile Scrum teams, your contributions will directly impact the delivery of high-quality solutions.ResponsibilitiesDemonstrate proficiency in Oracle technologies, including Oracle DB, Java, PL/SQL, and Linux scripting.Experience with the Oracle Retail Suite or Oracle ERP is a significant advantage.Develop comprehensive data flow/system flow/detail designs to clarify backlogs and acceptance criteria for the team.Document processes for knowledge management to support team and stakeholder needs.Coordinate with stakeholders, including Business Teams, Developers, QA, TPM, DevOps, and Solution Architects, to address and resolve software development challenges.Adapt and implement effective testing methodologies in collaboration with the QA team to ensure high-quality software delivery.Embrace Agile methodologies throughout the software development lifecycle.Familiarity with CI/CD practices and DevOps tools is essential.Collaborate with L1/L2 support teams as L3 to swiftly resolve production issues within SLA.Act as a senior team member, mentoring junior colleagues and assisting them in overcoming challenges.
Role OverviewJoin our dynamic team at joinmakropro as an experienced Oracle Retail Techno-Functional Consultant. In this role, you will leverage your expertise across key Oracle Retail modules—RMS, ReIM, RPM, ReSA, and SIM—while showcasing your strong technical skills in PL/SQL, Shell Scripting, Pro*C, Oracle Forms, Java, and other Oracle Retail technologies. You will collaborate closely with both business and IT stakeholders to analyze requirements, design effective solutions, implement necessary changes, support production issues, and engage in enhancement and rollout projects.We welcome remote candidates.Functional ResponsibilitiesCollaborate with business users to gather, analyze, and document requirements related to merchandising, pricing, invoice matching, store operations, and sales audits.Deliver functional expertise in:RMS – managing item/sku setup, purchase orders, transfers, inventory management, costs, and deals.ReIM – handling invoice matching, tolerance setup, and supplier funding.RPM – overseeing price changes, promotions, markdowns, and clearance strategies.ReSA – validating store sales data and managing error correction workflows.SIM – managing store inventory and conducting stock counts.Conduct fit-gap analysis and propose solutions aligned with Oracle Retail best practices.Assist in UAT by preparing test scenarios and test data while aiding business users in functional validation.Analyze production issues, provide root-cause analysis, recommend fixes, and identify workarounds.Technical ResponsibilitiesDesign, develop, and implement customizations, extensions, interfaces, and reports using:Oracle PL/SQL (packages, procedures, functions, views)Shell scripting for batch jobs and integrationsPro*C and Oracle Retail batch processesOracle Forms and Java components as neededOptimize SQL/PLSQL for performance and stability in high-volume retail environments.Support and troubleshoot batch processes, scheduled jobs, and end-of-day/end-of-month cycles.Prepare and maintain technical design documents, configuration documents, and deployment guides.
Join Cube Asia as a Data Engineer, where you will leverage diverse methodologies to convert raw data into impactful data systems. Your role will focus on enhancing efficiency by ensuring that our data systems align with business objectives.Success in this role requires a solid background in large-scale public data collection from web sources, utilizing open APIs and various tools. A comprehensive understanding of the regulations and technical aspects surrounding such data collection is essential.Familiarity with multiple programming languages and a foundational knowledge of machine learning techniques are also crucial. If you are detail-oriented, possess strong organizational skills, and have experience in this domain, we want to hear from you!
Full-time|On-site|Suanluang, Krung Thep Maha Nakhon Bangkok, Thailand
Collaborate in integrating data systems with existing infrastructure.Streamline data collection and analysis processes, optimizing data release and reporting tools.Design innovative tools to enhance data flows between internal and external systems and the data warehouse.Enhance data searching, visualization, and advanced analytics capabilities.Oversee data cleansing, enrichment, and quality improvement initiatives.Create complex code, scripts, and data pipelines to process structured and unstructured data in near real-time.Develop prototypes and proof of concepts for selected solutions.Assist in establishing data flow channels and processing systems to extract, transform, load, and integrate data from various sources.Support the identification of both internal and external data sources.Monitor the performance of data systems to ensure efficiency and reliability.
Key ResponsibilitiesLeadership and Strategic DevelopmentSteer comprehensive AI and Advanced Analytics projects to bolster CP Axtra’s Retail and Wholesale sectors.Formulate and implement an innovative AI strategy aimed at achieving significant improvements in revenue, operational efficiency, and customer engagement.Act as a liaison between business functions and technology to facilitate the adoption and scaling of AI initiatives across various departments.Keep abreast of both global and local AI advancements, including Generative AI, personalization, forecasting, and optimization, to enhance CP Axtra’s market position.Analytics and AI ImplementationOversee the design, development, and implementation of machine learning and AI models that include personalization engines, pricing optimization, demand prediction, inventory management, and GenAI/NLP applications.Manage experimentation, validation, and ongoing monitoring of AI/ML models to guarantee scalability, reliability, and integration within business operations.Ensure effective collaboration with data engineering teams to create robust data pipelines and MLOps for production-ready solutions.Collaborative Business EngagementWork closely with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to collaboratively develop AI use cases and promote their adoption.Establish strong relationships with stakeholders to align on priorities, effectively communicate trade-offs, and manage expectations.Serve as a trusted advisor to senior management, translating complex AI insights into actionable strategies.Promote the significance of AI and data-driven decision-making throughout the organization.Team Leadership and CollaborationGuide and mentor a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous improvement.Encourage cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver cohesive solutions.Facilitate knowledge sharing and enhance internal AI/ML capabilities to elevate organizational maturity.Performance Measurement and EnhancementDefine and track success metrics for AI initiatives, including sales growth, campaign ROI, operational cost savings, and customer lifetime value.Continuously evaluate and optimize AI-driven processes to maximize business outcomes.Communicate findings, case studies, and success stories to build trust and ensure alignment with business leaders.
Overview:Join our dynamic team at Join Makro as a Data Scientist, where your analytical skills will drive impactful decisions in the retail sector. We are looking for a passionate individual with a minimum of 2 years of experience in data science, specializing in data analysis, predictive modeling, and machine learning. Familiarity with MLOps, feature engineering, and data engineering workflows is highly advantageous.Key ResponsibilitiesData Analysis: Gather, preprocess, and scrutinize extensive datasets to unveil trends and actionable insights that tackle retail challenges.Model Development: Construct, train, and implement machine learning models for applications such as demand forecasting, customer behavior analysis, and inventory optimization.Collaboration: Collaborate with interdisciplinary teams, including data engineers and business stakeholders, to turn requirements into data-driven solutions.Visualization and Communication: Effectively present insights and findings using visualizations and dashboards to enhance decision-making processes.Innovation: Keep abreast of the latest tools and techniques in data science and retail analytics.Optional Responsibilities (for experienced candidates):Feature Engineering: Optimize and engineer features to enhance machine learning model performance, and automate feature extraction pipelines for scalable operations.MLOps: Engage in the deployment, monitoring, and retraining of machine learning models within production environments.Data Engineering: Assist in the design and maintenance of data pipelines while ensuring data integrity.QualificationsEducation: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Experience: Minimum of 2 years in data science or a comparable field.Technical Skills:Expertise in Python for data analysis and machine learning.Strong SQL capabilities for managing and querying large datasets.Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).Soft Skills: Exceptional problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).Knowledge of data engineering tools (e.g., Apache Spark, Kafka, Airflow).Experience in developing real-time analytics or personalization systems.
Join our dynamic team at joinmakropro as a Senior Data Engineer! We are looking for a seasoned professional with a proven track record in data engineering to architect, execute, and sustain our data infrastructure and processing pipelines. The ideal candidate will possess a robust background in big data technologies, cloud platforms, and data engineering practices. You will collaborate closely with data scientists, analysts, and various stakeholders to deliver efficient and dependable data solutions. A proactive mindset and a commitment to excellence are essential.Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes.Implement and optimize data storage solutions, including data warehouses and data lakes.Work alongside data scientists and analysts to comprehend data needs and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all systems.Create and maintain data models and schemas.Establish data security and access control protocols.Enhance query performance and data retrieval processes.Assess and incorporate new data technologies and tools.Guide junior data engineers and provide technical mentorship.Collaborate with cross-functional teams to advance data-driven decision-making.
Join Data Wow as a Data Engineer, where you'll collaborate with a talented team of Data Scientists and Data Analysts to design and implement robust data pipelines. This role offers the opportunity to work with cutting-edge data warehouse technologies and data ingestion tools while creating innovative proof of concept products tailored for our clients. You'll be an integral part of a dynamic team dedicated to delivering impactful data-driven solutions.Key Responsibilities Design, maintain, and optimize diverse data pipelines to ensure efficiency and reliability. Utilize data ingestion tools to streamline data acquisition. Enhance data warehouse performance and optimize resource utilization. Collaborate with Data Scientists to create proof of concept products that leverage machine learning models. Explore and implement new methodologies to improve existing data architecture.
Join our dynamic team at joinmakropro as a Senior Data Engineer, where you will play a crucial role in shaping our data infrastructure. We are looking for a highly skilled professional to spearhead the design, implementation, and maintenance of robust data pipelines and systems. You will collaborate with data scientists, analysts, and various stakeholders to ensure that our data processing and storage solutions are efficient and reliable.Key Responsibilities:Architect, develop, and maintain scalable data pipelines and ETL processes to support our analytics initiatives.Implement and enhance data storage solutions, including data warehouses and data lakes, to optimize data accessibility.Work closely with data scientists and analysts to gather data requirements and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all platforms.Design and maintain comprehensive data models and schemas.Establish data security protocols and access control measures to protect sensitive information.Improve query performance and streamline data retrieval processes.Assess and integrate cutting-edge data technologies and tools.Provide mentorship to junior data engineers and foster their professional growth.Collaborate with cross-functional teams to enable data-driven decision-making.
JoinMakroPro is on the lookout for a skilled Data Engineer who can effectively design, implement, and maintain robust data infrastructure and pipelines. The successful candidate will possess a solid foundation in data engineering, expertise in big data technologies, and proficiency in cloud platforms. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to deliver efficient and reliable data processing and storage solutions.Key Responsibilities: Architect, develop, and sustain scalable data pipelines and ETL processes. Optimize and implement data storage solutions, such as data warehouses and data lakes. Work hand-in-hand with data scientists and analysts to grasp data needs and facilitate efficient data access. Guarantee data integrity, consistency, and reliability across all data systems. Create and uphold data models and schemas. Establish data security and access control protocols. Enhance query performance and data retrieval methods. Assess and incorporate emerging data technologies and tools. Guide junior data engineers and offer technical leadership. Collaborate with cross-functional teams to bolster data-driven decision-making.
About AgodaAt Agoda, we connect the world through travel. Founded in 2005 by two passionate friends, our mission is to make travel more accessible for everyone.As a proud member of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 employees from 90 countries collaborates daily to offer unbeatable deals on hotels, flights, and experiences worldwide.Every day is unique at Agoda, where data and technology fuel our innovation and curiosity. If you're ready to embark on a transformative journey in the travel industry, we invite you to join our team. Meet Our Team: Agoda Finance has been instrumental in our recent global expansion. We manage daily financial operations while identifying future opportunities, balancing risk and innovation. Our culture of experimentation and data analysis empowers our team and enables strategic insights for sustainable growth. We are committed to career development, offering clear tracks for growth within every function of our team.Your Role:As an Oracle Finance Functional Consultant, you will leverage your 5+ years of experience to design, implement, and manage financial systems and process controls. You will act as the Compliance Owner for Off The Shelf Systems (OTS), collaborating with IT, Product, Risk and Compliance, and Auditors. We seek a results-driven professional who excels in communication, project management, and teamwork.Your ability to articulate ideas to stakeholders and manage projects autonomously will be crucial. Comfort with ambiguity, strong organizational skills, and exceptional interpersonal abilities are key attributes for success in this role.
We are seeking a Senior Product Owner (Finance - Oracle) with extensive expertise in the finance sector to spearhead the vision, roadmap, and execution of sophisticated financial products. This pivotal role demands exceptional stakeholder management skills, a robust understanding of the finance domain, and the proficiency to convert business and regulatory needs into impactful product features.You will collaborate closely with business leaders, engineering teams, UX designers, compliance officers, and data specialists to deliver scalable, secure, and compliant financial solutions.Key ResponsibilitiesDefine and own the product vision, strategy, and roadmap for finance-oriented products.Serve as the primary point of contact between business stakeholders and development teams.Translate intricate financial, regulatory, and operational requirements into clear user stories and acceptance criteria.Manage and prioritize the product backlog based on business value, risk assessment, and customer impact.Lead PI planning, sprint planning, backlog refinement, and reviews.Ensure compliance with financial regulations, compliance standards, and audit requirements.Work in collaboration with UX to guarantee intuitive and compliant user experiences.Evaluate product performance using KPIs, financial metrics, and customer feedback.Foster continuous improvement and innovation in financial processes and systems.Mentor junior product owners and contribute to product best practices.
Join aCommerce as a Data Engineer and play a pivotal role in constructing, optimizing, and sustaining robust data pipelines. You will also design innovative data models within our Data Platform, empowering analysts to drive critical business outcomes in our data-driven environment. In this role, you will leverage our cloud-based Big Data Platform to analyze both structured and unstructured marketplace data from various sources, enabling effective data utilization. You will be tasked with strategizing the optimal use of all data extracted from these diverse marketplaces. Collaboration will be key as you work closely with application teams and product managers to ensure alignment with business objectives and the overall roadmap.
Key Responsibilities: Receive, inspect, and inventory all incoming shipments with precision. Efficiently unload and load cargo from trucks and planes. Process shipments accurately, ensuring compliance with handling and labeling regulations. Prepare outgoing shipments by checking, sealing, and labeling them appropriately. Maintain detailed inventory records utilizing computerized systems and scanning technologies. Adhere to safety, security, and environmental regulations at all times. Collaborate with various departments to facilitate timely and accurate delivery of goods. Participate actively in warehouse organization and maintenance initiatives. Perform additional tasks as assigned by the supervisor. Conduct acceptance and weight checks with accuracy. Ensure proper X-Ray procedures and cargo assembly. Working Conditions:This position may require working on specific shifts, including mornings, afternoons, evenings, or nights, depending on operational needs.You will be expected to adhere to a schedule provided by the company, which may be consistent or rotational.
Join Agoda’s Display Marketing Team as a Senior Data Engineer, where you will drive data-driven decision-making and enhance our marketing strategies through sophisticated data pipelines and analytical solutions. As a key member of our team, you will collaborate with marketing professionals to design, develop, and implement robust data architectures that facilitate seamless data flow and accessibility.
We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizing state-of-the-art technologies to optimize performance and scalability. If you thrive in a fast-paced environment and are eager to contribute to innovative data solutions, we want to hear from you!
Join agoda as a Senior/Staff Data Platform Engineer and play a pivotal role in shaping our data infrastructure. We are looking for seasoned engineers passionate about data platforms, eager to tackle challenging problems, and to innovate within a dynamic team environment. You will have the opportunity to work with cutting-edge technologies and contribute to enhancing our data processing capabilities while ensuring high availability and scalability.
Agoda is seeking a Senior Data Platform Engineer based in Bangkok, Thailand. This role centers on shaping and strengthening the company’s data infrastructure to support business analytics and improve how teams access data. What you will do Design, build, and maintain data systems that serve the organization’s analytical needs Work to improve data accessibility for teams across Agoda Collaboration Work closely with other skilled professionals to develop and refine data solutions. The environment encourages sharing ideas and learning from peers. Technology This position involves working with modern data technologies as part of efforts to advance Agoda’s data platform.
