Description

You will build and deploy data pipelines and microservices using Python, ensuring robust architecture and performance across cloud environments.

This role is on-site.

Responsibilities

• Develop and maintain data processing pipelines and REST APIs using Python, FastAPI, Flask, or Tornado.
• Deploy and manage containerized applications using Docker, Kubernetes, and OpenShift via CI/CD tools like Jenkins and JFrog.
• Design and optimize database interactions with Postgres, Clickhouse, and MongoDB, implementing caching with Redis.
• Implement monitoring and logging solutions using Splunk, Kibana, and Elastic Search to ensure system reliability.
• Write and maintain high-quality code using Pylint, Pytest, and Behave, following established design patterns.

Required Skills

• 5+ years of experience with Python Core/Advanced, including concurrency and data structures.
• Proficiency in data manipulation libraries: Pandas, Numpy, and Scikit-learn (sklearn).
• Experience with CI/CD pipelines using Jenkins and artifact management with JFrog.
• Strong knowledge of containerization and orchestration: Docker, Kubernetes, and OpenShift Container Platform.
• Hands-on experience with microservices development and REST API design.
• Database proficiency with Postgres, Clickhouse, and MongoDB.
• Experience with messaging and caching systems: RabbitMQ (Pub/Sub) and Redis.
• Operating system expertise in both Linux and Windows environments.
• Knowledge of cloud platforms for building and deploying applications.

Preferred Skills

• Familiarity with Generative AI tools such as Langchain and ChatGPT.
• Experience with MLOps platforms: Databricks, MLFlow, Kubeflow, and ClearML.
• Proficiency in integration testing using Pytest and Python Behave.

Key Skills

Education

Any Graduate