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- Experience with Azure ML: Demonstrates proficiency in Azure Machine Learning, indicating expertise in building, deploying, and managing machine learning models on Microsoft's Azure cloud platform.
- Data Engineering: Indicates a solid understanding of data pipelines, data architecture, and data warehousing, suggesting the ability to design and implement robust data solutions.
- SageMaker: Experience with Amazon SageMaker, highlighting proficiency in utilizing AWS cloud services for machine learning tasks.
- Python ETL Skills: Proficiency in using Python for Extract, Transform, Load processes, indicating the ability to handle data preprocessing and manipulation efficiently.
- Good Communication: Strong communication skills are essential for effectively conveying complex technical concepts, collaborating with team members, and presenting findings or solutions to stakeholders.
- Strong Problem Solving: Demonstrates the ability to analyze problems, identify effective solutions, and implement them efficiently.
- Time Management and Organizational Skills: Essential for managing multiple tasks, meeting deadlines, and coordinating with team members effectively.
Data Architect - London, United Kingdom - N Consulting Ltd
Description
Location: London, UK,
Work mode: Hybrid.
Experience with Azure ML, Data engineering, Sage maker, Python ETL skills
Hands on experience in Azure ML
Good Communication
Strong problem solving, time management and organizational skills.