Software Engineer - Enterprise Data Management
The interview process has not been published for this job.
The interview process has not been published for this job.
About the Role: 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. Responsibilities: • Support the implementation and onboarding
American publicly traded corporation, formerly McGraw Hill Financial, Inc
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