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Data Consultant (System Architect)
About this position
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
About Data Wow
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.