Software Engineer - Enterprise Data Management

Grade Level (for internal use): 08 The Role: Software Engineer – Data Management Engineering The Team: The Data Management Engineering team supports critical index data workflows across mastering, ingestion, validation, transformation, and distribution. The team partners globally with Business, Index Operations, QA, Architecture, DevOps, and Infrastructure and values technical ownership, data quality, collaboration, automation, and dependable delivery in a near 24x5 operating environment.  The Impact: This role offers an opportunity to contribute to SPDJI's ongoing modernization initiatives, including the adoption of NeoXam and Databricks. The successful candidate will support the development and maintenance of critical financial data workflows that help ensure the quality, accuracy, and reliability of data used across Index Operations and client-facing products.  What’s in it for you:  Gain hands-on experience with enterprise data management platforms including NeoXam and Databricks.  Work alongside experienced engineers on large-scale financial data management initiatives.  Develop expertise in data engineering, automation, cloud technologies, and CI/CD practices.  Collaborate with globally distributed teams across business, operations, and technology functions.

Support the implementation and onboarding of NeoXam for enterprise data management use cases.  Develop and maintain data ingestion, validation, transformation, and distribution processes.  Collaborate with Business, Operations, QA, and Architecture teams to understand and implement requirements.  Assist with Databricks-based data processing, archival, and transformation initiatives.  Participate in automation, CI/CD, testing, and environment support activities.  Contribute to production support, troubleshooting, documentation, and continuous improvement efforts.    What We’re Looking For:  Technical Skills   Strong foundation in SQL and relational database concepts.  Knowledge of Python programming for data processing and automation.  Understanding of data modeling, ETL processes, and data validation concepts.  Exposure to Git/GitHub and software development best practices.

Familiarity with Databricks, NeoXam, Markit EDM, or similar data management platforms.  Exposure to cloud platforms such as AWS.  Knowledge of CI/CD concepts and automation tools.  Understanding of APIs and data integration concepts.  Soft Skills   Strong analytical and problem-solving abilities.  Eagerness to learn new technologies and business domains.  Effective communication and collaboration skills.  Ability to work in a team-oriented and fast-paced environment. About S&P Global Dow Jones Indic e s   At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 ® and the Dow Jones Industrial Average ® . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies.   S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow,