About the role
The Team : We are seeking a highly skilled Enterprise Data Management (EDM) Software Engineer to join our dynamic team. This role will focus on building, enhancing, and optimizing our enterprise data management solutions, ensuring efficient data processing, governance, and integration across multiple platforms. The ideal candidate will have a strong background in data engineering, software development, and enterprise data architecture.
Responsibilities and Impact :
Design, develop, and maintain robust EDM solutions to support business needs.
Implement data ingestion, validation, and transformation pipelines for large-scale structured and unstructured data.
Develop and optimize SQL databases for data storage, retrieval, and reporting.
Ensure high data quality and compliance with regulatory and security requirements.
Collaborate analysts, and business stakeholders to design scalable data solutions.
Automate data workflows, monitoring, and alerting to improve system performance and resilience.
Work on system integrations, including APIs, ETL/ELT processes, and cloud-based data services.
Troubleshoot and resolve data-related technical issues, ensuring high availability and reliability.
Stay up to date with industry trends and emerging technologies in data management and cloud computing.
What We're Looking For:
Basic Required Qualifications :
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
5+ years of experience in software development with a focus on enterprise data management.
Strong proficiency in SQL and Python for data processing and automation.
Experience with relational and NoSQL databases.
Hands-on experience with ETL/ELT tools and frameworks (e.g., EDM, Apache Informatica).
Familiarity with AWS, and their data services.
Strong understanding of data governance, metadata management, and data security best practices.
Excellent problem-solving skills, analytical mindset, and ability to work in an agile environment.
Effective communication skills to collaborate with cross-functional teams.
We are a global team, and the candidate should be flexible in their work hours.
Additional Preferred Qualifications :
Experience with data modeling, master data management (MDM), and data lineage tools.
Knowledge of financial or market data processing and corporate actions is a plus.
Experience working in a DevOps environment with CI/CD pipelines.
About the company
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.
