• Develop efficient and scalable data extraction methodologies to retrieve data from diverse sources, such as databases, APIs, web scraping, flat files, and streaming platforms. • Design and implement robust data loading processes to efficiently ingest and integrate data into the latest data warehousing technology, ensuring data quality and consistency. • Develop and maintain staging processes to facilitate the organization and transformation of raw data into structured formats, preparing it for downstream analysis and reporting. • Implement data quality checks and validation processes to identify and address data anomalies, inconsistencies, and integrity issues. • Identify and resolve performance bottlenecks in data extraction and loading processes, optimizing overall system performance and data availability. • Ensure adherence to data security and privacy standards throughout the data extraction and warehousing processes, implementing appropriate access controls and encryption mechanisms. • Create and maintain comprehensive documentation of data extraction and warehousing processes, including data flow diagrams, data dictionaries, and process workflows. • Mentor and support junior data engineers, providing guidance on best practices, technical design, and professional development to elevate overall team capability and performance. • Collaborate with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand their data requirements and provide efficient data engineering solutions. • Stay updated with the latest advancements in data engineering, data warehousing, and cloud technologies, and proactively propose innovative solutions to enhance data extraction and warehousing capabilities.