• Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications. • Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions. • Optimize and manage data storage systems and ensure high availability, reliability, and performance. • Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications. • Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly. • Handle large-scale datasets, ensuring data integrity and consistency across platforms. • Provide technical expertise and mentorship to junior engineers and stakeholders. • Implement best practices in data engineering, including version control, testing, and deployment. • Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.