Sr. Full Stack Python Developer

6 - 10 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: As a Senior Full Stack Python Developer, your primary responsibility will be to design, develop, and maintain scalable applications using Python and related frameworks. You will work with Databricks to build, optimize, and manage data pipelines and workflows. Additionally, you will write efficient and optimized SQL queries for data manipulation and reporting. Collaboration with cross-functional teams to deliver end-to-end solutions, ensuring application security, scalability, and performance standards are met will be a key aspect of your role. You will also explore and integrate Large Language Models (LLMs) APIs and frameworks. Key Responsibilities: - Design, develop, and maintain scalable applications using Python and related frameworks. - Work with Databricks to build, optimize, and manage data pipelines and workflows. - Write efficient and optimized SQL queries for data manipulation and reporting. - Collaborate with cross-functional teams to deliver end-to-end solutions, from backend services to front-end integration. - Ensure application security, scalability, and performance standards are met. - Explore and integrate LLMs APIs and frameworks (basic exposure required). - Support troubleshooting, debugging, and performance tuning of applications. - Participate in code reviews, design discussions, and knowledge-sharing sessions. Qualifications Required: - 5-7 years of experience in software/application development. - Strong proficiency in Python (Flask/Django/FastAPI or similar frameworks). - Hands-on experience with Databricks for data engineering, ETL, or ML workflows. - Solid knowledge of SQL and relational databases. - Familiarity with front-end technologies (React/Angular/JavaScript) is a plus. - Good understanding of GenAI concepts, APIs, or frameworks. - Exposure to cloud platforms (Azure/AWS/GCP). - Knowledge of containerization (Docker/Kubernetes). - Experience in building and deploying APIs. - Awareness of MLOps or LLMOps practices. - Strong debugging, problem-solving, and analytical skills. - Good communication and collaboration abilities.,

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