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Experience Level
Mid to Senior
Qualifications
Essential Qualifications Proficiency in Python, with experience in web frameworks such as Flask, Django, or FastAPI being advantageous. Familiarity with data warehousing technologies essential for effective data management. Understanding of ETL (Extract, Transform, Load) processes and tools. Knowledge of SQL for database management and manipulation. Hands-on experience with Google Cloud Services and AWS to facilitate cloud-based solutions. Familiarity with Docker for containerization. Experience working with Kubernetes for orchestration. Proficiency in Apache Kafka for real-time data streaming. Strong problem-solving skills and a proactive attitude. Awareness of best practices in data security. A collaborative mindset with a strong emphasis on teamwork. Good command of English for effective communication.
About the job
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.
About Data Wow
Data Wow is a forward-thinking company committed to harnessing the power of data to drive innovation and growth. With a focus on creating tailored data solutions, we empower businesses to leverage their data for strategic decision-making and enhanced operational efficiency.
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Full-time|On-site|Suanluang, Krung Thep Maha Nakhon Bangkok, Thailand
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Overview:As a pivotal link between business stakeholders and the technical team, the Business & Data Analyst plays a crucial role in shaping the StoreOps systems. This position is responsible for gathering business requirements, designing effective store processes, defining key performance indicators (KPIs), and driving data-informed decision-making.Responsibilities:Architecture & DesignDevelop comprehensive end-to-end system architecture for StoreOps platforms including POS, inventory, supply chain, and store reporting systems.Specify microservices, event-driven, or monolithic architectures based on project requirements.Design systems that are high-availability, fault-tolerant, and scalable.Establish standards for APIs, integration patterns, and data flow architecture.Implement cloud architecture using AWS, Azure, or GCP and define infrastructure patterns.Technical LeadershipGuide backend and frontend engineers with technical direction.Perform architecture reviews and grant design approvals.Set coding standards, CI/CD pipelines, and best practices in DevOps.Enhance system performance and fortify system security.Integration & Enterprise AlignmentOversee integrations with ERP, eCommerce, CRM, payment gateways, WMS, and third-party vendors.Define security models including RBAC, authentication, encryption, and compliance protocols.Ensure adherence to enterprise IT standards and governance frameworks.Quality & Risk ManagementIdentify technical risks and develop mitigation strategies.Guarantee system observability through logging, monitoring, and tracing.Lead disaster recovery and business continuity planning efforts.
