Job purpose?

We are looking for a contract Backend Engineer to help build and refine analytical, data-driven web applications?

and supporting infrastructure for a quantitative trading firm. This role is hands-on and implementation-driven,?

working with production microservices, databases, and automated workflows.?

?

Key responsibilities?

? Build and upgrade microservices and workflows written in Python/Pandas?

? Design and maintain RESTful APIs that serve time-series and quantitative data?

? Integrate with database storage across MongoDB, SQL Server, and PostgreSQL?

? Reason about business logic as it relates to backend data transformations?

? Collaborate with front-end developers to design APIs that provide the necessary data to the UI?

? Make informed decisions about where certain pieces of business logic belong in the stack?

? Optimize query performance for large datasets and frequent updates?

? Debug issues related to job dependency management and data integrity?

? Implement and maintain CI/CD pipelines for backend services?





? Ensure system reliability through monitoring, logging, and alerting?

Key competencies?

Required Skills?

? Strong experience with Python (3.9+) and data manipulation libraries (Pandas, NumPy)?

? Proficiency building microservices using FastAPI or similar async frameworks?

? Solid understanding of enterprise-level data architecture and design patterns?

? Experience with both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB) databases?

? Positive understanding of SQL Server stored procedures with the ability to alter or create them as?

needed?

? Working knowledge of containers (Docker) and cloud platforms (GCP/Kubernetes)?

? Experience designing and implementing RESTful APIs collaboratively with UI developers?

? Strong grasp of software engineering fundamentals including data structures, algorithms, and design?

patterns?

? Knowledge of code performance optimization and memory efficiency?

? Familiarity with messa

📌 Backend Developer (Gurugram)
🏢 Moodys Analytics
📍 Gurugram