IFC — a member of the World Bank Group — is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. For more information, please visit www.ifc.org. Information Technology is an integral part of the strategic initiatives for all the core business functions at IFC. Within Corporate Information and Technologies (CIT), Data Engineering, AI, and Platforms (CITDE) organization provides comprehensive data and analytics support for IFC's various organizations, such as Economics & Private Sector Developments, Global Industries, Climate Business, Treasury and Mobilization, and many more. A robust engagement model with business ensures prioritization of the business requirements & focus on delivery. The solution landscape encompasses a wide variety of in-house and customized data applications, AI/ML solutions, and scaling capabilities that meet the business needs of IFC departments. Data Engineering & Platforms (CITDE) is seeking a Data Engineer with expertise in migrating transactional database systems to Microsoft Azure Cloud Platform. You will understand technical requirements and assist in designing, planning, managing, and troubleshooting the data migration process and data pipelines. In addition to creating and maintaining an optimal pipeline architecture, this role is responsible for identifying, designing, and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Working with stakeholders, including data, design, product, and executive teams, and assisting them with data-related technical issues. Lastly, working with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs while assisting with data-related technical issues.