Location: Mumbai
Reports to: Tech Team Lead
About the Role
We are looking for a Senior Software Developer to join our Data Services team, specializing in delivering custom client-ready reports and managing data corrections. This role requires strong technical skills in Python, SQL, and Excel, combined with experience in AWS cloud services such as Athena and Aurora. You will play a key role in ensuring clients receive high-quality, tailored data outputs and that corrections are handled efficiently through automated tools and processes.
Key Responsibilities
• 5 to 8 years of experience into Python
• Work on Client Platforms with Data Services Core team to Prepare custom Level 3 client reports based on specific requirements and data sets.
• Design, develop, and deploy AI agents capable of performing intelligent data and report functions
• Develop and maintain correction files and tools to manage data adjustments and ensure accuracy.
• Automate repetitive tasks using Python scripts and Excel macros where applicable.
• Perform data validation, quality checks, and ensure compliance with internal standards. • Query and manage data using AWS Athena and Aurora, ensuring scalability and performance.
• Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs.
• Document processes and maintain clear guidelines for report generation and correction workflows.
• Stay up-to-date with the latest developments in AI, and client facing technologies. Required Qualifications
• Bachelor’s degree in Computer Engineering, Computer Science, or related field.
• Strong proficiency in Python (data manipulation libraries like Pandas, NumPy).
• Strong knowledge of API integration, and data extraction from both structured and unstructured sources
• Advanced knowledge of SQL for querying and managing relational databases.
• Excellent Excel skills, including formulas, pivot tables, and automation techniques.
• Knowledge of distributed computing and data engineering techniques for scalable data processing
• Hands-on experience with AWS services (Athena, Aurora, S3).
• 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 EntitySkills Required
- Bachelor's degree in Computer Engineering, Computer Science, or related field.
- 5 to 8 years of experience in Python development.
- Strong proficiency in Python including data libraries (Pandas, NumPy).
- Advanced knowledge of SQL for querying and managing relational databases.
- Excellent Excel skills, including formulas, pivot tables, and automation (macros).
- Hands-on experience with AWS services (Athena, Aurora, S3).
- Strong knowledge of API integration and data extraction from structured and unstructured sources.
- Knowledge of distributed computing and data engineering techniques for scalable processing.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to manage multiple priorities and deliver under tight deadlines.
- Experience with data visualization tools (Power BI, Tableau).
- Familiarity with version control (Git) and workflow automation.
- Knowledge of financial data and reporting standards.
What the Team is Saying
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Policies include a paid sabbatical every four years and flexible PTO covering vacation, sick, and personal days, alongside paid volunteer time. Feedback suggests these features create meaningful flexibility and rest opportunities beyond standard leave plans.
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Parental & Family Support — A global minimum of 16 weeks paid parental leave for primary caregivers (up to 8 weeks for secondary) and at least six weeks of paid caregiving leave are publicly stated, with adoption assistance also available. These provisions indicate robust support for families during key life events.
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Retirement Support — U.S. materials document a 401(k) match of $0.75 per $1 up to 7% of pay and no‑cost access to Morningstar retirement tools. This combination strengthens long‑term savings and planning for employees.
Morningstar Insights
What We Do
We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.
Why Work With Us
Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.
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Morningstar Teams
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.
