Analyst - BE Process
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Experience: 1-4 years
Role Summary
Support the development of backend modules and APIs for the ProAssure platform under guidance from senior engineers.
Key Responsibilities
- Develop backend features using Python and Django
- Build and consume REST APIs
- Work with PostgreSQL for data storage and queries
- Assist in integrating backend services with UI and enterprise tools
- Follow secure coding and quality standards
- Participate in Agile sprints, code reviews, and testing
Required Skills
- Hands-on experience with Python
- Working knowledge of Django / REST APIs
- Basic understanding of databases (PostgreSQL/MySQL)
- Familiarity with Git and Agile development practices
- Willingness to learn enterprise-scale and compliance-focused systems
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Equal employment opportunity information
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B.Tech or equivalent.
For backend engineer, please look for the following criteria:
- Expertise in Python
- Experience in production deployments where there is > 10k users
- Experience with Fast API - and (optionally) GoLang. I am seeing a lot of Flask and Django which indicate that they have not developed a microservice with Python recently. Preferably, this API should have lot of I/O calls that need to be orchestrated for high concurrency requests
- Experience with queues - Celery or Rabbit MQ or AWS SQS
- Experience with Databases - Postgres, MongoDB, Databricks, Iceberg
- Experience with web sockets (socket.io), asynchronous programming (async.io), etc.
- Experience with Kubernetes - know how APIs can be scaled when deployed on K8S (this is not deploying APIs in k8s which dev ops. This is knowledge on how to run scalable micro services on k8s)
- No gaps in experience; no overlapping work across multiple companies
For backend engineer, please look for the following criteria:
- Expertise in Python
- Experience in production deployments where there is > 10k users
- Experience with Fast API - and (optionally) GoLang. I am seeing a lot of Flask and Django which indicate that they have not developed a microservice with Python recently. Preferably, this API should have lot of I/O calls that need to be orchestrated for high concurrency requests
- Experience with queues - Celery or Rabbit MQ or AWS SQS
- Experience with Databases - Postgres, MongoDB, Databricks, Iceberg
- Experience with web sockets (socket.io), asynchronous programming (async.io), etc.
- Experience with Kubernetes - know how APIs can be scaled when deployed on K8S (this is not deploying APIs in k8s which dev ops. This is knowledge on how to run scalable micro services on k8s)
- No gaps in experience; no overlapping work across multiple companies
