Python Application Programming

Job Location:

Pune - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role Overview: We are seeking a highly skilled Senior Backend Engineer with 6.4 years of experience to join our dynamic engineering this role you will design develop and maintain scalable backend systems data pipelines and cloud-native applications. The ideal candidate is a Python expert with deep experience in web frameworks ETL processes and multi-cloud environments (AWS/Azure). You will be responsible for building robust APIs automating complex workflows and ensuring the seamless integration of batch and stream processing systems.

Key Responsibilities:

API & Backend Development: Design and implement high-performance secure RESTful APIs using FastAPI Django Rest Framework (DRF) Django and Flask.
Data Engineering & ETL: Build and optimize scalable ETL pipelines using pandas NumPy and Matplotlib for data transformation and visualization.
Cloud Infrastructure: Deploy and manage services across both AWS and Azure environments ensuring high availability and scalability.
Data Processing: Develop and maintain both Batch and Stream processing workflows to handle large-scale data efficiently.
Automation & Scrapping: Create Python automation scripts to streamline internal processes and develop advanced Web Scrapping solutions for data acquisition.
Database Management: Architect and optimize schemas for both SQL and NoSQL databases.
DevOps Integration: Containerize applications using Docker and maintain robust CI/CD pipelines for automated testing and deployment.
Frontend Collaboration: Work with frontend technologies including JavaScript HTML and Bootstrap to ensure seamless end-to-end integration.

Required Skills & Experience:

Experience: Exactly 6.4 years of professional experience in software development with a focus on Python.
Core Python Stack: Expert-level proficiency in Python FastAPI Django Flask and DRF.
Data Science Libraries: Strong hands-on experience with pandas NumPy and Matplotlib.
Cloud Proficiency: Demonstrated experience in Azure and AWS cloud ecosystems.
Data Processing: Solid understanding of Batch and Stream processing architectures.
Web Technologies: Proficiency in Web Scrapping techniques and modern frontend basics (HTML Bootstrap JavaScript).
Databases: Deep knowledge of SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) systems.
Tools & Version Control: Expert in Git Docker and implementing CI/CD workflows.
Project Management: Experience working in Agile environments using Jira and maintaining technical excellence through Confluence Docs.

Role Overview: We are seeking a highly skilled Senior Backend Engineer with 6.4 years of experience to join our dynamic engineering this role you will design develop and maintain scalable backend systems data pipelines and cloud-native applications. The ideal candidate is a Python expert with deep ...

Key Responsibilities:

API & Backend Development: Design and implement high-performance secure RESTful APIs using FastAPI Django Rest Framework (DRF) Django and Flask.
Data Engineering & ETL: Build and optimize scalable ETL pipelines using pandas NumPy and Matplotlib for data transformation and visualization.
Cloud Infrastructure: Deploy and manage services across both AWS and Azure environments ensuring high availability and scalability.
Data Processing: Develop and maintain both Batch and Stream processing workflows to handle large-scale data efficiently.
Automation & Scrapping: Create Python automation scripts to streamline internal processes and develop advanced Web Scrapping solutions for data acquisition.
Database Management: Architect and optimize schemas for both SQL and NoSQL databases.
DevOps Integration: Containerize applications using Docker and maintain robust CI/CD pipelines for automated testing and deployment.
Frontend Collaboration: Work with frontend technologies including JavaScript HTML and Bootstrap to ensure seamless end-to-end integration.

Required Skills & Experience:

Experience: Exactly 6.4 years of professional experience in software development with a focus on Python.
Core Python Stack: Expert-level proficiency in Python FastAPI Django Flask and DRF.
Data Science Libraries: Strong hands-on experience with pandas NumPy and Matplotlib.
Cloud Proficiency: Demonstrated experience in Azure and AWS cloud ecosystems.
Data Processing: Solid understanding of Batch and Stream processing architectures.
Web Technologies: Proficiency in Web Scrapping techniques and modern frontend basics (HTML Bootstrap JavaScript).
Databases: Deep knowledge of SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) systems.
Tools & Version Control: Expert in Git Docker and implementing CI/CD workflows.
Project Management: Experience working in Agile environments using Jira and maintaining technical excellence through Confluence Docs.