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Gurugram · On-site · 3-6 Yrs · Aug 25
Investment & Asset Management · 10000+ Employees · New York, US
In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively. With a rich history of expertise in global markets and a diverse workforce in more than 40 countries, Moody’s unites the brightest minds to turn today’s risks into tomorrow’s opportunities.
Hiring: Engineering
What employees say
+ Good company to work with good wlb
− Not as such any. Will let u know if i find any
More reviews on the company profile.
Interview experience · Data Engineer
3 ROUNDS.. first round with the upper management and then the remainign 2 rounds technichal with 2 or more panelist. In the first round they will understand your experience properly. In the remainign rounds please go thr
Difficult difficulty · Gurgaon, Haryana · 220 reports
More interview insightsJob description
Overview
Skills and Competencies • 3-5 years of hands-on full-stack engineering experience with a track record of independently delivering production-quality applications end to end; proficiency in React 18 with TypeScript (component architecture, hooks, state management with Zustand or Redux, and React Router for complex multi-view portals), Node.js/Express for BFF APIs (including authentication flows, request proxying, caching, and structured error handling), and Python/FastAPI for backend microservices and data processing pipelines.
Qualifications
- Proficiency with Pandas and openpyxl for Excel-in/Excel-out data processing pipelines; experience with fuzzy matching libraries (RapidFuzz or similar) for entity deduplication and overlap analysis; exposure to graph traversal (NetworkX or equivalent) for ownership hierarchy and relation analysis; ability to integrate with external data APIs.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Responsibilities
- Build an end-to-end AI-assisted operations platform that replaces manual Salesforce workflows and spreadsheet-based processes with an auditable, intelligent console.
- Provision and maintain the Salesforce Connected App; manage the OAuth token lifecycle; implement read operations across Cases, Accounts, Contacts, Tasks, and Activity History; build validated Salesforce write-back flows (merge, email update, segment patch) with AI pre-flight checks and analyst confirmation gates before any SFDC commit; implement real-time case state monitoring via Salesforce Platform Events to drive escalation detection.
- Integrate case summarization, duplicate analysis, action pre-flight checks, and an AI chat assistant pre-seeded with live case context; implement the escalation prediction engine; enforce human-in-the-loop guardrails at the API layer.
- Manage phased delivery with defined go-live milestones; lead UAT sessions with analysts, managers, and leadership at each phase go-live, and incorporate feedback into the subsequent sprint backlog; maintain Azure infrastructure, monitor application health, and own incident response throughout the build period.
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