Data Management : Design, implement, and manage data solutions on the Microsoft Azure cloud platform.
Data Integration : Develop and maintain data pipelines, ensuring effective 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.