Senior Data Engineer with Data Bricks

Role Overview: You will be responsible for implementing efficient and maintainable code using best practices and coding standards. As part of the role, you will design, develop, test, and deploy high-performance and scalable data solutions using Python. Collaboration with cross-functional teams to understand business requirements and translate them into technical specifications will be a key aspect of your responsibilities. Key Responsibilities: - Implement efficient and maintainable code using best practices and coding standards. - Utilize your experience 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 analytics. - Develop and maintain ETL processes using Databricks notebooks. - Implement and optimize data pipelines for data transformation and integration. Qualifications Required: - Proficiency in Python for designing and developing high-performance data solutions. - Strong experience in SQL for database design, optimization, and maintenance. - Familiarity with Databricks platform for big data processing and analytics. - Experience in ETL processes and data pipeline optimization would be beneficial. (Note: No additional details about the company were mentioned in the provided job description.),