Data Engineer

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 …

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.

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.

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.

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 strong data engineering expertise.Key Responsibilities:1) Data Warehouse & Analytics:- Architect, implement, and sustain Oracle Retail Analytics Data Warehouse solutions.- Create and refine dimensional models including fact and dimension tables.- Guarantee data integrity, consistency, and high performance.2) ETL / Data Integration:- Design and manage ETL pipelines utilizing Oracle Data Integrator (ODI).- Seamlessly integrate data from various retail systems such as POS, merchandising, and supply chain.- Enforce data quality standards and enhance ETL efficiency.3) Reporting & BI:- Construct insightful dashboards using Oracle Business Intelligence Enterprise Edition (OBIEE).- Generate operational and management reports via BI Publisher (BIP).- Convert business needs into actionable analytics solutions.4) Data Engineering:- Demonstrate strong SQL and PL/SQL skills for data transformation and optimization.- Efficiently manage large datasets.- Follow best practices for data modeling and query performance.5) Operations & Support:- Oversee data loads and reporting functions.- Diagnose production issues and alleviate performance bottlenecks.

We are seeking a dedicated and proactive Data Service Engineer to optimize the functionality of our company’s data ecosystem. This pivotal role involves monitoring data workflows, troubleshooting operational challenges, assisting business users with data inquiries, and fostering collaboration across various technical and business teams. The ideal candidate will possess a keen eye for detail, a service-oriented mindset, and the ability to thrive in a dynamic, cross-functional environment.Key Responsibilities Oversee and manage data ingestion and ETL processes sourced from multiple channels. Continuously enhance data operational workflows and propose solutions to recurring challenges. Develop SQL queries for data extraction, validation, and manipulation from databases. Address incident tickets and coordinate issue resolution by liaising with relevant domain teams. Assist business users with data extraction, validation, and ad hoc requests. Investigate and resolve data anomalies in partnership with relevant teams. Proactively provide daily reports on incidents and operational summaries to the team.

Veeam, recognized as the global leader in data resilience, empowers organizations to maintain complete control over their data at any time and from any location. With a focus on data backup, recovery, portability, security, and intelligence, Veeam serves over 550,000 customers worldwide, providing them with the trust and tools needed to keep their operations seamless. As we continue to evolve and innovate, we invite you to be part of our journey, making significant strides for some of the world’s most prominent brands. The future of data resilience is here—join us as we advance boldly together.About the Role: Following our acquisition of Securiti AI, a pioneer in AI-driven data security posture management (DSPM), Veeam is on the lookout for a Senior Sales Engineer. This role will be pivotal in providing technical expertise within our sales team, with an emphasis on the Securiti AI portfolio. You will collaborate closely with a Securiti Sales Specialist and offer support to 3–5 Account Executives and Veeam Solution Engineers as the go-to technical expert.Your responsibilities will include guiding clients from their initial needs assessment through to solution design, showcasing the value of our offerings through hands-on demonstrations and proof-of-concepts. To excel in this position, strong technical proficiency coupled with the ability to establish lasting relationships with clients is essential.What You’ll Do:</strong> Act as the primary technical liaison for Securiti AI solutions throughout the sales processLead technical discussions and tailor security solutions to meet client needsAddress customer requirements in data discovery, posture management, and complianceDesign and deliver compelling product demonstrations and proof-of-concept presentationsWork collaboratively with product, engineering, and customer success teams to ensure seamless transitionsWhat You’ll Bring:</strong> Extensive experience in pre-sales or sales engineeringDeep understanding of data and/or cloud securityStrong communicator adept at engaging both technical and business stakeholdersOver 10 years of technical sales experience in security15+ years in Software/SaaS/Enterprise technical salesPractical knowledge of AWS, Azure, or GCPFamiliarity with data privacy/security standards (e.g., GDPR, etc.)

Join joinmakropro as a Senior Manager in our Business Intelligence (BI) and Data Engineering team. In this pivotal role, you will spearhead the Business Report Development initiatives for CP Axtra’s BIC, overseeing the planning, execution, governance, and dependability of enterprise business reporting across Makro/Lotus. Collaborate closely with Data Engineering Operations and business stakeholders to ensure BIC dashboards and reports are reliable, timely, and trusted. You will also coordinate incident triage and service level agreement (SLA) communications.Key Responsibilities:1) Reporting & Delivery:Lead the end-to-end delivery of BIC dashboards and scheduled reports. Establish standards for data modeling, DAX/SQL patterns, performance, and release processes.Conduct root cause analysis (RCA) for discrepancies and document corrective actions.2) Platform Operations & SLA:Manage daily and weekly SLA communications with Data Operations and vendors, covering delays, pipeline statuses, estimated time of arrival (ETA), and stakeholder notifications.Ensure preparedness for month-end and quarter-end processes.3) Governance & Security:Incorporate BIC governance practices such as access management, row-level security (RLS), object-level security, and workspace standards, aligning with the directives of the CP Axtra Data Governance Committee.4) Stakeholder Management:Serve as the primary liaison for business owners across Operations, Finance, Commercial, and other departments, effectively communicating changes, incidents, and delivery timelines to diverse stakeholder groups.5) Leadership & Team Enablement:Mentor analysts and BI developers on best practices and standards; manage transition plans and handovers when ownership changes.

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.

Join Minor International as a Data Solutions Manager where you will spearhead the development and implementation of innovative data solutions that drive business success. This role requires a strategic mindset and the ability to collaborate with cross-functional teams to enhance data-driven decision-making processes.

As a Data Steward at joinmakropro, you will play a vital role in managing our data assets, ensuring they are accurate, accessible, and compliant with organizational standards. This position serves as a crucial link between business and technology, overseeing the quality, consistency, and usability of data across essential domains such as customer, product, vendor, and finance.Key Responsibilities Collaborate with data owners and custodians to establish and uphold data standards, policies, and business rules. Enhance data quality through profiling, cleansing, and validation processes. Act as the subject matter expert for specific data domains (e.g., customer, store, inventory). Identify and resolve data issues while facilitating root cause analysis. Support metadata management by updating definitions, lineage, and classifications within the data catalog. Facilitate data change management processes to ensure compliance with data governance policies. Work collaboratively with business and IT teams to drive data-driven initiatives, analytics, and reporting. Engage in data governance councils to align with the enterprise data strategy.

About NimbleNimble is dedicated to addressing our clients' most pressing business challenges through innovative technology solutions. We collaborate with some of the world's most ambitious companies, creating lasting impacts through our work. If you're eager to grow, tackle complex problems, and make a difference, Nimble is the perfect place for you!Our Core ValuesExtreme Ownership: We treat our clients’ businesses as if they were our own.Bias for Action: We prioritize swift execution and decisive action to achieve tangible results.Intensity: We approach challenges with high energy and focus, committed to delivering impactful results.Pragmatism: We emphasize practical and straightforward solutions that effectively address complex issues.Outcome Over Process: We aim for outcomes that truly matter, using processes to achieve repeatable success.Truth Seeking: We pursue truth through intellectual honesty and critical thinking.The OpportunityJoin us as we establish a new business unit focused on enhancing operational efficiency in manufacturing companies across Thailand. As a Forward Deployed Data Engineer, you will collaborate directly with manufacturing clients to analyze operational processes, integrate data across systems, and develop data pipelines and analytical models that yield significant business outcomes.This dynamic role blends data engineering, analytics, and client interaction, serving as a crucial link between manufacturing operations and advanced analytics solutions. You'll thrive in a fast-paced, early-stage environment where your contributions will shape the analytics solutions we provide and the underlying data platforms that support them. This position is ideal for engineers who excel at solving complex real-world data challenges and creating systems that enhance operational performance.

Data Audit & ValidationAs a Data Quality Analyst, you will conduct daily cross-verifications between our internal pricing data and competitors' prices obtained through scraping techniques. Your keen eye will help identify discrepancies in product matching, unit conversions, and promotional mechanics, ensuring that our data maintains the highest level of accuracy prior to being utilized for pricing strategies.Data Quality & CleaningYour role will involve detecting and rectifying data issues such as incorrect SKU mappings, unit mismatches, outlier prices, and errors from scraping tools. You will also uphold clear standards for product matching and validation.Competitive Gap AnalysisYou will perform thorough analyses of pricing gaps against competitors, highlighting significant deviations and summarizing key findings and trends for management review.Process ImprovementCross-Functional Collaboration

Overview:We are on the lookout for a dynamic and talented Data Scientist to become a key player in our retail team. The ideal candidate will possess a minimum of 2 years of hands-on experience in the data science field, showcasing proficiency in data analysis, predictive modeling, and machine learning techniques. Familiarity with MLOps, feature engineering, and data engineering processes will be advantageous.Key ResponsibilitiesData Analysis: Gather, preprocess, and scrutinize extensive datasets to uncover trends and derive actionable insights that address retail business challenges.Model Development: Construct, train, and implement machine learning models for various applications including demand forecasting, customer behavior analysis, and inventory optimization.Collaboration: Work closely with cross-functional teams, including data engineers and business stakeholders, to convert requirements into effective data-driven solutions.Visualization and Communication: Convey insights and findings through engaging visualizations and dashboards that support decision-making processes.Innovation: Remain knowledgeable about the latest tools and methodologies in data science and retail analytics.Optional Responsibilities (if experienced):Feature Engineering: Enhance and optimize features to bolster machine learning model performance and automate feature extraction pipelines for scalable workflows.MLOps: Assist in the deployment, monitoring, and retraining of machine learning models within production settings.Data Engineering: Aid in designing and sustaining data pipelines while ensuring data integrity.