Python Developer

Senior Python Developer

Role: Senior Python Developer

Experience: 38 years ; Position-2

Location: Hyderabad, India (WFO)

Role Overview

Seeking a Senior Python Developer with strong Python skills and experience in BI or data-driven platforms to build scalable applications, integrate data workflows, and support analytics solutions.

Key Responsibilities

Collaborate with cross-functional teams to gather and understand business and technical requirements.

Design, develop, and maintain scalable backend services and APIs using Python.

Implement server-side logic and ensure smooth integration with front-end components.

Conduct testing, debugging, and performance optimization to ensure high reliability.

Work with relational and NoSQL databases to manage structured and unstructured data.

Integrate backend services with BI tools such as Power BI, Tableau, or similar platforms.

Contribute to feature evaluation, prioritization, and provide informed technical guidance.

Perform peer code reviews, mentor junior developers, and promote best practices in coding, testing, and deployment.

Required Skill sets

Strong Python programming skills with hands-on experience in frameworks such as Flask, Django, or FastAPI.

Solid understanding of object-oriented design, multithreading, and multiprocessing.

Expertise in server-side templating, RESTful API development, and microservices architecture.

Practical experience working with databases (PostgreSQL, MySQL, SQL Server, etc.) and data modeling.

Good knowledge of ETL processes, data pipelines, and integration techniques.

Familiarity with Git and CI/CD workflows.

Experience in unit testing, integration testing, and using debugging tools.

Strong analytical and problem-solving abilities, including working with large datasets for application and BI scenarios.

Experience working in Agile/Scrum environments.

Excellent communication, teamwork, and leadership qualities.

Preferred Skills (Nice-to-Have)

Experience with BI/Analytics tools such as Power BI, Tableau, or Qlik, with the ability to integrate and optimize backend services for BI dashboards.

Hands-on exposure to cloud platforms (AWS, Azure, or GCP) for data storage, processing, and application deployment.

Familiarity with containerization and orchestration technologies like Docker and Kubernetes.

Working knowledge of Python data analysis libraries such as Pandas, NumPy, and Matplotlib for BI-related use cases.

Understanding of Apache Spark for large-scale data processing.

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