Python Backend Engineer

LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the world's largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data

challenges. Our clients include 40+ enterprises with over $10B in deposits/AUM, collectively representing about 1B customers globally.
Our expertise lies in creating next-gen data technology products to help FSI enterprises organize, manage, and effectively use data. We have consistently challenged the status quo, introducing many industry-firsts like the first enterprise data platform in Asia on cloud for a regulated entity.
Founded in 2013, LUMIQ has now completed a decade of innovation, backed by Info Edge Ventures (a JV between Temasek Holdings of Singapore and Naukri) and US-based Season 2 Ventures.

Our Culture:
At LUMIQ, we strive to create a community of passionate data professionals who aim to transcend the usual corporate dynamics. We offer you the freedom to ideate, commit, and navigate your career trajectory at your

own pace. Culture of ownership empowerment to drive outcomes.
Our culture encourages 'Tech Poetry' combining creativity and technology to create solutions that revolutionize industry. We trust our people to manage their responsibilities with minimal policy constraints. Our team is composed of the industry's brightest minds, from PhDs and engineers to industry specialists from Banking, Insurance, NBFCs, AMCs, who will challenge and inspire you to reach new heights.

We are looking for a highly skilled Senior Backend Engineer to design, develop, and scale robust backend systems and APIs. You will be responsible for building high-performance backend services, data pipelines, and API integrations, ensuring they are secure, scalable, and maintainable.

• Design, build, and maintain backend services and REST APIs using Python and FastAPI.
• Implement asynchronous processing, background tasks, and dependency injection within FastAPI.
• Integrate OpenAPI/Swagger documentation for all backend endpoints.
• Design and integrate RESTful APIs with frontend systems and third-party services, handling versioning, error responses, and edge cases.
• Build and optimize data models in relational databases like PostgreSQL and MySQL, and work with NoSQL systems like MongoDB.
• Design and maintain ETL pipelines for bulk data ingestion, transformation, validation, and deduplication to ensure master data integrity.
• Work on real-time data streaming pipelines using Apache Kafka or similar tools.
• Deploy, monitor, and scale services on cloud platforms like Amazon Web Services (AWS) or Microsoft Azure.
• Containerize services using Docker and orchestrate deployments using Kubernetes.
• Set up CI/CD pipelines using GitHub Actions or similar tools.
• Collaborate with frontend, DevOps, and data engineering teams to deliver end-to-end solutions.

• Strong expertise in Python with experience in type annotations, asynchronous programming, and scripting.
• Proven experience building scalable backend services using FastAPI.
• Strong understanding of RESTful API design principles and best practices.
• Hands-on experience with PostgreSQL, MySQL, and MongoDB including schema design and query optimization.
• Experience designing and managing ETL pipelines and real-time data streaming systems.
• Familiarity with cloud services (Amazon Web Services or Microsoft Azure) and infrastructure as code.
• Proficiency with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions or similar).
• Strong debugging, performance optimization, and problem-solving skills.
• Excellent communication and collaboration abilities.

• Knowledge of microservices architecture.
• Familiarity with message queues (e.g., RabbitMQ, Amazon SQS).
• Experience with security best practices (OAuth2, JWT, rate limiting).