Software Engineer - Enterprise Data Management
S&P Global (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain critical financial data workflows including ingestion, validation, transformation, and distribution using enterprise data management platforms such as NeoXam and Databricks.
- Support onboarding and implementation of NeoXam and assist with Databricks-based data processing initiatives.
- Collaborate cross-functionally with Business, Operations, QA, Architecture, and Technology teams to ensure data quality, reliability, and automation within a near 24x5 operating environment.
Minimum Requirements
- Strong foundation in SQL and relational database concepts.
- Proficiency in Python programming for data processing and automation.
- Work Experience Required: Not explicitly mentioned in the JD.
- Familiarity with Git/GitHub and software development best practices.
Ideal Candidate Profile
- Experience or familiarity with enterprise data management platforms such as NeoXam, Markit EDM, or Databricks, preferably in financial services.
- Knowledge of data modeling, ETL processes, data validation, cloud platforms like AWS, and CI/CD concepts indicating ability to handle large-scale financial data workflows.
- Comfort working in a globally distributed, fast-paced environment with cross-functional teams focusing on automation, continuous improvement, and operational support.