Role: Software Engineer (Python + AWS)
Location: Vashi, Navi Mumbai (4 days working from office)

Job Description Summary
We are looking for a dedicated Python and AWS Software Engineer to build, optimize, and scale core components of Morningstar’s Data Platform. In this role, you will focus entirely on developing reusable Python libraries, building serverless tools, and writing cloud-native data processing applications. We are looking for proactive problem-solvers who thrive in a fast-paced setting, possess deep expertise in Python and AWS, and can architect modern data solutions that drive our platform forward. Job Description The Group Morningstar’s Enterprise Data Platform (EDP) is the central nervous system for consolidating, normalizing, calculating, and distributing Morningstar’s high-quality data. EDP is both the data provider and a core business enabler. The individuals in this group strive to enable faster business growth, achieve better scale, and improve the customer experience by maximizing the full commercial and brand value of our datasets.



The Role As a Python & AWS specialist within our engineering squad, you will write high performance application code and design backend cloud architectures. You will collaborate with team leads and architects to transition data workloads into highly optimized cloud solutions. The ideal candidate lives and breathes Python, knows the nuances of AWS data and compute services, and is passionate about writing clean, stable, and cost-efficient backend code.

Core Responsibilities
• Python Application Development: Design, build, and maintain robust Python based backend applications, reusable libraries, and data components.
• AWS Cloud Engineering: Implement and optimize cloud-native software solutions using AWS services, ensuring maximum compute performance and efficient storage/API utilization.
• AI-Driven Engineering: Leverage AI tools explicitly within the Python development lifecycle to accelerate code output, wri

📌 Software Engineer (Navi Mumbai)
🏢 Morningstar
📍 Navi Mumbai