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About the role
Data Management : Design, implement, and manage data solutions on the Microsoft Azure cloud platform. Data Integration : Develop and maintain data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes using Azure Data Factory. Data Storage : Work with various Azure data storage solutions like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB. Big Data Processing : Utilize big data technologies such as Azure Databricks and Apache Spark to handle and analyze large datasets. Data Architecture : Design and optimize data models and architectures to meet business requirements. Performance Monitoring : Monitor and optimize the performance of data systems and pipelines. Collaboration : Collaborate with data scientists, analysts, and other stakeholders to support data-driven decision-making. Security and Compliance : Ensure data solutions comply with security and regulatory requirements. Technical Skills : Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data tools. Analytical Skills : Strong analytical and problem-solving skills. Communication : Excellent communication and teamwork skills. Certifications : Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.
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