Azure Data Engineer

Primary Skill: Data Scientist Experience:  6 to 9 Years     • Proven experience as a Data Scientist, with a strong portfolio of projects demonstrating expertise in machine learning and data analysis. • Collect, clean, and preprocess large datasets from various sources to ensure data quality and integrity. • Develop and deploy machine learning models and algorithms to solve business problems and improve operational efficiency. • Utilize Azure Machine Learning, Azure Databricks, and other Azure services to build, train, and deploy predictive models. • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. • Collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into production systems. • Communicate findings and insights through data visualizations, reports, and presentations to both technical and non-technical audiences. • Proficiency in programming languages such as Python or R. • Hands-on experience with Azure services, including Azure Machine Learning, Azure Logic Apps, Azure Data Factory, and Azure AI Foundry. • Strong understanding of statistical analysis, data mining, and predictive modeling techniques. • Excellent problem-solving skills and the ability to work with large, complex datasets. • Excellent Communication and strong collaboration skills