About this role
• Design, develop, and maintain scalable ETL pipelines using SQL and Python. • Work independently across the full lifecycle: requirement gathering, solution design, development, testing, and production deployment. • Write complex and optimized SQL queries to support ETL processes and data transformations. • Implement and manage data warehousing solutions following best practices. • Develop thorough unit tests to ensure data accuracy, reliability, and code quality. • Create and maintain detailed technical documentation for ETL processes and data models. • Collaborate with stakeholders to understand data requirements and deliver robust data solutions. • Handle multiple tasks and priorities effectively in a fast-paced environment.