Python Developer

1. DataOPS:- Proficiency in Python Core/Advanced for development and data pipelining.
- Strong understanding of data structures, Pandas, Numpy, sklearn, concurrency, and design patterns.
2. DevOPS:- Experience in deploying applications using CI/CD tools such as Jenkins, Jfrog, Docker, Kubernetes, and Openshift Container Platform.
3. Microservices & REST APIs:
- Familiarity with FastAPI, Flask, and Tornado for developing microservices and REST APIs.
4. Cloud:
- Knowledge of building and deploying applications using cloud platforms.
5. Databases & SQL: - Proficiency in working with databases such as Postgres, Clickhouse, and MongoDB.
6. Caching & Queuing: - Experience with Pub/Sub (RabbitMQ), Redis, and Diskcache for caching and queuing purposes.
7. Operating system: - Strong understanding of both Linux and Windows operating systems.
8. Monitoring and Logging: - Familiarity with Splunk for monitoring and logging applications.
Good to have skills include:
1. Generative AI knowledge: - Knowledge of the Langchain framework and ChatGPT for generative AI applications.
2. MLOPS knowledge: - Experience with Databricks, MLFlow, Kubeflow, and ClearML for managing machine learning operations.
3. Testing knowledge: - Proficiency in integration testing, Python Behave, and Pytest for ensuring code quality.
4. Maintaining code quality standards: - Working knowledge of Pylint for maintaining code quality standards.
5. Logging: - Familiarity with Kibana and Elastic search for advanced logging and analysis.

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