REQUIREMENTS

• Solid 5+ years of experience with Azure Data Factory, Databricks, and Power BI.
• Degree in Computer Science, IT, or a related field with a strong analytical focus.
• Proficiency in Python, particularly in the context of data manipulation and notebook-based analytics.
• A thorough understanding of cloud data security protocols and best practices.
• Experience in optimizing cloud-based data platforms for high performance and reliability.
• History of successful collaboration with IT and businessunits.
• Azure certifications, especially those related to data engineering

• Leverage Azure Data Factory to orchestrate and automate data workflows, ensuring seamless ETL processes.
• Utilize Databricks to perform complex data analytics, employing both Azure and Python notebooks for scalable data processing.
• PowerBI - Transform raw data into compelling visual stories with Power BI, providingactionable insights to the business.
• Python Programmer: Use Python within Azure to manage data, automate tasks, and build machine learning models.
• Apply rigorous security measures to protect data within Azure, usingtools and practices that prevent unauthorized access.
• Monitor and control expenditures on Azure services, optimizing the usage of resources.Ensure that all data services are finely tuned to deliver the fastest and most reliable insights.
• Align closely with stakeholders across the business to ensure that data strategies meet organizational needs.
• Stay abreast of the latest Azure services and incorporate them into our data landscape to drive innovation.
  

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