Python, Pandas, Flask

We are seeking a Python Developer with strong skills in Python, Pandas, and Flask/Fast/Django API development. The ideal candidate should also have experience with Middleware, Scheduler, SQL, and various Databases. Familiarity with RestAPI, Redis Cache, SQL (Postgres/MariaDB/Clickhouse), Kubernetes, Linux/Windows scheduler, and Shell Scripting are desired skills. You will be instrumental in designing and implementing backend services and data workflows within the analytics domain.

Key Responsibilities

• API Development: Design, develop, and maintain robust APIs using Flask, FastAPI, or Django, including handling middleware.
• Data Processing: Utilize Pandas for efficient data manipulation, analysis, and transformation.
• Database Interaction: Work extensively with SQL and various Databases to store, retrieve, and manage data.
• Scheduling: Implement and manage data processing and API execution with Schedulers.
• Backend System Design: Contribute to the design and architecture of backend systems, ensuring scalability and performance.
• Troubleshooting: Diagnose and resolve technical issues related to data pipelines and APIs.
• Collaboration: Work closely with data scientists, analysts, and other developers to understand requirements and deliver integrated solutions.

Required Skills and Experience

• Proficiency in Python.
• Strong experience with Pandas.
• Expertise in Flask, FastAPI, or Django for API development.
• Experience with Middleware and Scheduler implementations.
• Strong knowledge of SQL and various Databases.

Desired Skills

• Experience with RestAPI.
• Knowledge of Redis Cache.
• Familiarity with specific SQL databases: Postgres, MariaDB, or Clickhouse.
• Exposure to Kubernetes.
• Experience with Linux/Windows scheduler and Shell Script.

Domain

• Analytics