Teams at Morningstar

Build and maintain enterprise data pipelines, ELT processes, data models, reporting structures, and analytics solutions. Cleanse, deduplicate, normalize, and govern data across warehouses and data lakes, including Snowflake. Develop dashboards and business intelligence models, ensure data quality and compliance, apply business logic, and collaborate with technical and non-technical stakeholders to deliver accurate insights and improve operational performance.

Entry-level apprentice supporting data collection, verification, quality assurance, and query resolution across investment and financial datasets. The role includes structured training in investment management, Excel, SQL, and Power BI, collaboration with internal and external stakeholders, and work across rotating shifts in the Mumbai office.

Develop and maintain scalable full-stack features for Morningstar Direct using Java, modern JavaScript/TypeScript frameworks, cloud infrastructure, automated testing, and CI/CD. Own delivery from design through production support, improve reliability and observability, troubleshoot frontend and backend issues, mentor engineers, and apply responsible AI-assisted development and testing practices.