nToday, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical view of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed.n nA data engineer who specializes in finance not only has specific data engineering knowledge, but also a good understanding of financial domain-specific problems, approaches, data ecosystem, data providers, data formats, technological constraints, identifiers, entities, regulatory requirements, and governance.n nThis book offers a comprehensive, practical, domain-driven approach to financial data engineering with real use cases, market practices, and hands-on projects.n nYoull learn:• The data engineering landscape in the financial sectorn • Specific problems encountered in financial data engineering n • Structure, players, and particularities of the financial data domain n • Approaches to designing financial data identification and entity systems n • Financial data governance frameworks, concepts, and best practices n • The financial data engineering lifecycle from ingestion to production n • The varieties and main characteristics of financial data workflows n • How to build financial data pipelines using open source and cloud technologies n