Azure Data Engineer

Role Overview: As an Azure Data Engineer, you will be responsible for leveraging your proven experience in data engineering with a focus on Azure cloud technologies. Your primary focus will be on utilizing Azure SQL Database, Azure Data Lake, Azure Data Factory, and Azure Databricks to create and manage data pipelines for data transformation and integration. Your proficiency in programming languages such as Python will be essential for this role. Key Responsibilities: - Utilize Azure Data Factory to create efficient data pipelines for seamless data transformation and integration processes. - Demonstrate strong hands-on knowledge of Azure cloud services related to data and analytics, including Azure SQL, Data Lake, Data Factory, and Databricks. - Apply your experience with SQL and data modeling, as well as your familiarity with NoSQL databases, to optimize data storage and retrieval processes. - Implement your knowledge of data warehousing and data lake concepts and technologies to ensure effective data management and analytics solutions. Qualifications Required: - Minimum of 6-12 years of proven experience as a Data Engineer, with a specific focus on Azure cloud technologies. - Proficiency in programming languages such as Python to support data engineering tasks efficiently. - Strong understanding of Azure SQL Database, Azure Data Lake, Azure Data Factory, and Azure Databricks for effective data processing. - Experience with SQL, data modeling, and NoSQL databases to ensure robust data storage and retrieval mechanisms. - Knowledge of data warehousing and data lake concepts and technologies to implement best practices in data management. Note: No additional details about the company were provided in the job description.,