Data Engineer

**Job Description:** **Role Overview:** As a skilled Data Engineer with hands-on experience in Azure SQL, Databricks, and Data Factory, you will be a valuable addition to our dynamic team. Your primary responsibility will be to develop, maintain, and optimize data-driven applications and solutions. **Key Responsibilities:** - Design, develop, test, and deploy high-performance and scalable data solutions. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. - Implement efficient and maintainable code using best practices and coding standards. - Utilize expertise in SQL to design, optimize, and maintain relational databases. - Write complex SQL queries for data retrieval, manipulation, and analysis. - Perform database performance tuning and optimization. - Work with Databricks platform for big data processing and analysis. - Develop and maintain ETL processes using Databricks notebooks. - Implement and optimize data pipelines for data transformation and integration. **Qualifications Required:** - Hands-on experience with Azure SQL, Databricks, and Data Factory. - Proficiency in SQL for designing, optimizing, and maintaining relational databases. - Strong understanding of data engineering concepts and best practices. - Experience in developing ETL processes and data pipelines. - Ability to collaborate effectively with cross-functional teams. (Note: No additional details of the company were mentioned in the provided job description.) **Job Description:** **Role Overview:** As a skilled Data Engineer with hands-on experience in Azure SQL, Databricks, and Data Factory, you will be a valuable addition to our dynamic team. Your primary responsibility will be to develop, maintain, and optimize data-driven applications and solutions. **Key Responsibilities:** - Design, develop, test, and deploy high-performance and scalable data solutions. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. - Implement efficient and maintainable code using best practices and coding standards. - Utilize expertise in SQL to design, optimize, and maintain relational databases. - Write complex SQL queries for data retrieval, manipulation, and analysis. - Perform database performance tuning and optimization. - Work with Databricks platform for big data processing and analysis. - Develop and maintain ETL processes using Databricks notebooks. - Implement and optimize data pipelines for data transformation and integration. **Qualifications Required:** - Hands-on experience with Azure SQL, Databricks, and Data Factory. - Proficiency in SQL for designing, optimizing, and maintaining relational databases. - Strong understanding of data engineering concepts and best practices. - Experience in developing ETL processes and data pipelines. - Ability to collaborate effectively with cross-functional teams. (Note: No additional details of the company were mentioned in the provided job description.)