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Data Consultant (System Architect)

Data Wow (Bangkok, Bangkok City, Thailand)
Bangkok, Thailand 🇹🇭
Data Wow is an expert in data processing and a leader in AI development. With vigorous computer visions and best-in-class solutions supported by our strong Japanese partner, we offer end-to-end tailored solutions across all data stages – data labeling, management, and deployment. We are well-equipped with the capabilities to deploy web/app development, data pipeline and warehouse, data analytics, data security, Artificial Intelligence (AI), and Machine Learning (ML). Examples of our solutions and technologies are full-service data labelling and tools, data engineering, predictive analytics, big data, and tech/AI consultation and training. We leverage our knowledge in an extremely specific domain to address and tackle novel business problems via data-driven systems. We are industry agnostic, and we solve pressing issues for companies of all sizes – from startups to large enterprises. Through our holistic approach, we combine the latest technology with in-depth business understanding to deliver actionable, impactful and measurable values.

About this position

As a Data Engineer at Data Wow, you will work closely with Data Scientists and Data Analysts to create data pipelines. You will get to work with data warehouse technologies as well as data ingestion tools. You will also get to work with Data Scientists to create proof of concept products for clients. You will be part of a team that delivers exciting data-oriented products.

Responsibilities

• Designing, creating, maintaining, and optimizing various data pipelines
• Working with data ingestion tools
• Collaborating with Data Scientists to create machine learning pipelines
• Working with various data warehouse technologies and optimizing data warehouse utilization
• Researching new ways to improve existing architecture
• Providing data consulting services and technical expertise to clients
• Supporting the Sales team with solution architecture for customer-facing tasks and assisting in pre-sales discussions
• Translating technical data solutions into business value for customer presentations

Requirements

• Expertise in Python
• Working knowledge of data warehousing technologies
• Working knowledge of ETL technologies
• Working knowledge of SQL
• Familiarity with Machine Learning pipelines such as Inference Service
• Experience with cloud services (Google Cloud Service and AWS)
• Experience with Python web frameworks (Flask, Django, FastAPI)
• Working knowledge of Docker
• Knowledge of Kubernetes is a plus
• Strong problem-solving attitude
• Understanding of security best practices
• Collaborative team spirit
• Strong communication skills for customer-facing tasks
• Good command of English