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 — A recurring paid sabbatical every four years and flexible time off in North America provide substantial time away from work. A global minimum of six weeks’ paid caregiving leave further extends coverage for personal and family needs.
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Parental & Family Support — Paid parental leave sets a stated global minimum of 16 weeks for primary caregivers and up to eight weeks for secondary caregivers, with adoption assistance reimbursing eligible expenses. These policies are positioned as global standards that complement broader leave programs.
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Equity Value & Accessibility — Employees can convert a portion of bonuses or commissions into RSUs with an additional company match on the converted amount. Impact RSU awards in some cases add further upside tied to strong performance.
Morningstar Insights
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
