Software Engineer - Enterprise Data Management

Job Summary

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 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.

Preferred Skills

• 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.