DataEngineer

# **About the Role:** **Grade Level (for internal use):** 09 **Job Title:** Data Engineer **The Team:** As a member of the EDO, Collection Platforms & AI – Foundational Data & Linking team, you will be at the heart of S&P Global's data-driven strategy. You will build and maintain enterprise-scale data processing pipelines that power our critical data sourcing, information retrieval, and machine learning solutions. In our AWS-based ecosystem, you will have the opportunity to design resilient, production-ready systems and grow your skills in a highly collaborative, global environment that encourages innovation and ownership. **What’s in it for you:** * Make a significant impact by delivering data solutions at an enterprise scale for a world-leading financial information provider. * Collaborate with a hands-on, technically strong team (including leadership) that values best practices and continuous learning. * Take ownership of solving complex, high-impact data challenges from end-to-end. * Gain deep experience in the full lifecycle of data products—from ideation and architecture through to deployment and maintenance in production. **Responsibilities:** * Design, develop, and maintain robust, scalable, and reliable data pipelines using **Python, and Databricks**. * Develop complex SQL queries, optimize data models, and manage large datasets within our **PostgreSQL** databases. * Build and deploy ETL/ELT processes to ingest, transform, and load data from a wide variety of sources. * Implement and manage CI/CD pipelines (e.g., Azure DevOps, Jenkins) for automated testing and deployment of data applications. * Ensure data quality, reliability, and observability by implementing comprehensive logging, monitoring, and alerting. * Collaborate with data scientists, analysts, and other engineers to understand data needs and deliver effective solutions. * Contribute to the evolution of our platform standards and best practices for data engineering, code quality, and testing. * C