Collaborate with business teams and technology teams on the designs and solutions for new and extensions of existing data pipelines. Collaborate with the data teams to evaluate emerging technologies and data integration approaches. Develop frameworks and applications for large-scale data processing. Partner with other business and technology teams to extract, transform, and load data from a wide variety of data sources using amazon web services (AWS) and other technologies. This includes gathering and processing raw, structured, semi-structured, and unstructured data, from internal and external data providers via databases, APIs, FTPs, and messaging services, using batch and real-time data processing frameworks. Build technical knowledge related to applicable emerging technologies and trends in data integration. Design, develop, and implement an end-to-end analytical platform that is flexible, componentized, scalable, secure, and meets business needs. Design and develop data pipelines for business intelligence reporting and analytics, including data needed for data scientists and analysts. Build data pipelines that support the use and expansion of good data practices and data governance (e.g., metadata management, data quality, data modeling, master data management, data administration, security, privacy). Safeguard all customer, employee, and company proprietary and personal information ensuring customer and employee data is kept confidential at all times.