Principal Software Engineer

6 days ago

Bangalore, India Factspan Full time

Principal Analyst (Senior Software Engineer – Tech Lead) Location: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. We are seeking a Senior Software Engineer / Tech Lead to drive the architecture, development, and optimization of our data-heavy applications. This role blends deep backend engineering expertise, product-oriented data modeling, and lightweight program leadership. Act as tech lead for one or more modules, providing guidance on design, best practices, and code quality. • Backend & Systems Architecture • Build and optimize low-latency APIs and services using Node.js, Python (Django/FastAPI/Flask). • Architect microservices and event-driven systems with Kafka, Redis, Docker, Kubernetes. • Optimize database schemas, queries, and caching strategies (Postgres, MongoDB, Redis). Data-Heavy Product Engineering • Design data models and schemas that align with product features and analytics. • Use Pandas, Polars, and Python libraries to transform and serve large datasets. • Generate efficient data frames & JSON payloads for frontend dashboards and reporting. Provide regular technical updates, ensuring alignment on timelines, risks, and dependencies. • Quality, Performance & Reliability • Implement unit, integration, and performance testing across data workflows. • Drive performance benchmarking & profiling to achieve sub-second latency. • 5–8 years of experience in software engineering, with at least 1+ years acting as a tech lead or senior contributor. • Strong in Node.js, Python (Django/FastAPI/Flask), and JavaScript/TypeScript. • Proven experience with data modeling and architecting systems for low latency & scale. • Proficiency with SQL & NoSQL databases (Postgres, MongoDB, Redis). • Experience with microservices, event-driven systems, caching, Docker/Kubernetes. • Excellent communication skills — able to interact with engineers, product managers, and business stakeholders. • Experience in fintech, SaaS, analytics, or other data-heavy product domains. • Exposure to React/TypeScript or data visualization frameworks. • Prior experience managing small squads or feature pods.

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