- Design, develop, and maintain scalable data-driven and event-driven applications.

- Develop backend services using Python (Django, Flask) and integrate them with distributed data processing pipelines using PySpark.

- Work independently on assigned tasks and take complete ownership from design to deployment.

- Collaborate with cross-functional teams for requirements gathering, design discussions, and delivery planning.

- Guide and mentor junior resources in coding best practices and problem-solving.

- Work with RDBMS and NoSQL databases to design and optimize storage solutions.

- Integrate applications with messaging services like Kafka and MQ for event-driven architectures.

- Ensure smooth deployments through CI/CD pipelines using Jenkins and Docker.

Core Skills & Technologies :

- Languages : Python 3

- Frameworks : Apache Spark (PySpark), Django, Flask

- Databases : PostgreSQL (RDBMS), Cassandra, MongoDB (NoSQL)

- Messaging : Kafka, MQ

- Architecture : Event-Driven, Data-Driven

- CI/CD Tools : Jenkins, Docker

- Monitoring tools : ELK, Prometheus, Grafana

Good to Have :

- Knowledge of Data Lake and Data Warehouse concepts.

- Exposure to large-scale distributed systems.

- Exposure to any of cloud provider [GCP, AWS, Azure]

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or related field.