Azure Data Engineer

As an Azure Data Engineer, you will leverage your expertise in Azure Data Engineering to work with Databricks, Spark, and handle large volumes of data. Your primary focus will involve data migration, ETL, and data integration processes. It is crucial to have proficiency in Python and SQL, along with a strong understanding of data warehousing and data lakes concepts. Additionally, familiarity with CI/CD processes for data workflows is required. Key Responsibilities: - Utilize Databricks, Spark, and other tools to efficiently handle large volumes of data - Lead data migration, ETL, and data integration processes - Demonstrate proficiency in Python and SQL for data manipulation and analysis - Implement data warehousing and data lakes concepts effectively - Ensure data integrity, accuracy, and consistency through validation processes - Test end-to-end data pipelines for performance, scalability, and fault tolerance Qualifications Required: - 4.5-6 years of experience in Azure Data Engineering - Strong expertise in Databricks, Spark, and handling large volumes of data - Proficiency in Python and SQL - Knowledge of data warehousing and data lakes concepts - Familiarity with CI/CD processes for data workflows,