• Responsible for designing, building, and maintaining efficient, scalable, and fully automated data pipelines and architectures that support various business needs • Design, develop, and maintain scalable data pipelines to collect, process, and transform data from various sources • Integrate data from multiple sources, ensuring data quality and consistency across the organization • Build and maintain data storage solutions, including data warehouses and data lakes, ensuring optimal performance and reliability • Implement data transformation and enrichment processes to prepare data for analytics and reporting • Leverage cloud technologies, particularly AWS, to optimize and manage data infrastructure • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions • Create and maintain comprehensive documentation for data pipelines, data models, and related processes • Mentor and guide junior data engineers/analysts on data engineering best practices and industry standards