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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 : Solid 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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