Azure Data Engineer

Role Overview: As an Azure Data Engineer, you will be responsible for working with Databricks, Spark, and managing large volumes of data. You will have a strong background in data migration, ETL, and data integration processes. Your proficiency in Python and SQL will be crucial for this role, along with your knowledge of data warehousing and data lakes concepts. Additionally, you will be familiar with CI/CD processes for data workflows and will ensure data integrity, accuracy, and consistency by performing validations. Testing end-to-end data pipelines for performance, scalability, and fault tolerance will also be a key part of your responsibilities. Key Responsibilities: - Experience with Databricks, Spark, and handling large volumes of data - Strong experience in data migration, ETL, and data integration processes - Proficient in Python and SQL - Knowledge of data warehousing and data lakes concepts - Familiarity with CI/CD processes for data workflows - Perform validation to ensure data integrity, accuracy, and consistency - Test end-to-end data pipelines for performance, scalability, and fault tolerance Qualifications Required: - 4.5-6 years of experience (Note: There were no additional details about the company mentioned in the job description.) Role Overview: As an Azure Data Engineer, you will be responsible for working with Databricks, Spark, and managing large volumes of data. You will have a strong background in data migration, ETL, and data integration processes. Your proficiency in Python and SQL will be crucial for this role, along with your knowledge of data warehousing and data lakes concepts. Additionally, you will be familiar with CI/CD processes for data workflows and will ensure data integrity, accuracy, and consistency by performing validations. Testing end-to-end data pipelines for performance, scalability, and fault tolerance will also be a key part of your responsibilities. Key Responsibilities: - Experience with Databricks, Spark, and handling large volumes of data - Strong experience in data migration, ETL, and data integration processes - Proficient in Python and SQL - Knowledge of data warehousing and data lakes concepts - Familiarity with CI/CD processes for data workflows - Perform validation to ensure data integrity, accuracy, and consistency - Test end-to-end data pipelines for performance, scalability, and fault tolerance Qualifications Required: - 4.5-6 years of experience (Note: There were no additional details about the company mentioned in the job description.)