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Full-time
bachelor degree
Hybrid Work Environment, Flexibility Tools And Resources
Posted 35d ago
~40 hrs/week
Responsibilities
Drive the design and scaling of a centralized, API-driven data validation platform. Develop high-performance backend services and data pipelines incorporating AI-driven capabilities like anomaly detection.
Requirements
Requires 5 to 8 years of Python experience with strong proficiency in data manipulation libraries and scalable backend design. A Bachelor's degree in Computer Science or a related engineering field is required.
Full job description
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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
Related keywords
PythonPandasNumPyAPIData ValidationBackend ServicesData PipelinesParallel ProcessingAsynchronous ExecutionDistributed ComputingLLMIsolation ForestAnomaly DetectionSQLExcelPower BI
Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional
investors in the debt and private capital markets, and alliances and redistributors. Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. Morningstar also offers investment management services through its investment advisory subsidiaries, with approximately $369 billion in AUMA as of Sept. 30, 2025. The Company operates through wholly-owned subsidiaries in 32 countries.
Offices: 22 W. Washington St., Chicago, IL 60602, US · Calle de Maria de Molina, 39, Madrid, Community of Madrid 28006, ES · 1 Toronto St, Suite 500, Toronto, Ontario M5C 2V6, CA · 1155 Boulevard René-Lévesque O, Suite 2500, Montreal, Quebec H3B 2J6, CA · Rua Prof. Atílio Innocenti, 165, sala 3-123, Vila Nova Conceição, São Paulo, SP, BR
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