Overview
Principal / Associate Director role in the Data Management Engineering team at S&P Dow Jones Indices, supporting critical index data workflows and the implementation of NeoXam and broader Databricks adoption.
What you'll do
- Lead and support the implementation and onboarding of NeoXam for enterprise data management use cases.
- Design and develop scalable data ingestion, mastering, validation, transformation, and distribution solutions.
- Translate business and operational requirements into effective technical solutions in partnership with Business, Operations, QA, and Architecture.
- Support Databricks-based archival, transformation, and large-scale data processing initiatives.
- Improve data quality, performance, automation, CI/CD, environment management, and operational efficiency.
- Provide production support for critical financial data workflows and maintain clear technical and operational documentation.
What you'll need
- Strong SQL Server and T-SQL expertise, including data modeling, database performance optimization, and large-scale data processing.
- Python development experience for data processing and automation, with exposure to APIs, ETL/data pipelines, and Git/GitHub workflows.
- Experience with financial data mastering, transformation, validation, reconciliation, and enterprise data management platforms such as NeoXam, Markit EDM, or similar.
- Demonstrated ability to independently own medium-to-large data management initiatives and solve complex technical problems.
- Strong collaboration and stakeholder-management skills across globally distributed teams.
- Clear written and verbal communication, with a disciplined approach to documentation and operational readiness.
- Interest in both data engineering and operational automation, with a focus on quality, scalability, and continuous improvement.
Nice to have
- Experience with Databricks or Lakehouse platforms.
- Exposure to Jenkins, AWS, scripting, workflow schedulers, and environment automation.
Details
- Location: Noida, Uttar Pradesh, India.
- Operating environment is near 24x5, working with globally distributed teams.
Read the full description and apply on the company’s own careers page.