About the Role
We are looking for a Senior Software Engineer to drive the design, development, and scaling of our centralized, API-driven data validation platform. This is a hands-on individual contributor role focused on building high-performance, scalable, and intelligent validation systems that process large datasets with speed and accuracy. You will work across backend systems, validation engines, APIs, and data processing pipelines, with opportunities to contribute to AI-driven capabilities such as anomaly detection, rule automation & LLM based capabilities.

Key Skills:
• 5 to 8 years of experience into Python
• Strong proficiency in Python(data manipulation libraries like Pandas, NumPy) with writing clean, maintainable, and testable code.
• Design and develop scalable backend services for data validation.
• Implement high-throughput data processing pipelines.
• Integrate CheckMate with enterprise data systems and pipelines.
• Enable real-time and batch validation capabilities
• Design and implement - Field-level validations, Cross-field and relational rules & Schema and data integrity checks.
• Knowledge of parallel processing and asynchronous execution.
• Knowledge of caching, indexing and efficient data structures.
• Strong knowledge of API integration, and data extraction from both structured and unstructured sources
• Knowledge of distributed computing and data engineering techniques for scalable data processing
• Maintain auditability and traceability in validation workflows.
• Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs.
• Good to have exposure to LLM.
• Good to have knowledge of anomaly detection using algorithms like Isolation Forest or similar.
• Good to have knowledge of SQL for querying and managing relational databases.
• Good to have Excel skills, including formulas, pivot tables, and automation techniques.
• Stay up-to-date with the latest developments in AI, and client facing technologies.
• Bachelor's degree in Computer Engineering, Computer Science, or related field.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage multiple priorities and deliver under tight deadlines. Preferred Skills
• Experience with data visualization tools (Power BI, Tableau).
• Familiarity with version control (Git) and workflow automation.
• Knowledge of financial data and reporting standards is a plus.

Morningstar is an equal opportunity employer

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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