Python Developer

Job Description:

Position: Senior Python Developer Location: Hyderabad Industry: IT Services & Consulting Department: Engineering – Software & QA Employment Type: Full-Time, Permanent Overview: We are seeking an experienced Senior Python Developer with

experience

in Streamlit, database development, and a strong understanding of Power BI. If you are passionate about data visualization, Python development, and crafting scalable solutions, we’d love to hear from you.

Key Responsibilities

Application Development Develop sophisticated Streamlit applications and dashboards to deliver actionable insights. Implement back-end functionalities with a focus on seamless integration between web applications and databases. Database Development Be familiar with database operations and development (SingleStore, Snowflake, SQL Server, MongoDB, etc.). Code Quality & Best Practices Write high-quality, reusable, and maintainable code in Python. Conduct code reviews and ensure adherence to software development best practices. Deployment & Monitoring Manage application deployment and performance monitoring on cloud platforms (AWS, GCP, Azure, etc.). Address bugs and performance bottlenecks in a timely manner, ensuring high application uptime.

Qualifications

Experience

Minimum 5+ years of professional

experience

in Python development. Strong track record of building web applications with Streamlit and integrating real-time databases. Hands-on

experience

defining insights and creating visualizations in Power BI. Proven expertise in working with relational (e.g., SQL, PostgreSQL) and non-relational (e.g., MongoDB) databases. Technical

Skills

Strong understanding of Python frameworks and libraries for data processing. Proficiency with database design, optimization, and analytics. Familiarity with cloud environments and DevOps practices for application deployment. Soft

Skills

Strong problem-solving, analytical, and debugging skills. Excellent communication

skills

– ability to articulate concepts and solutions clearly. Good to Have (GenAI / AI Skills):

Experience

integrating Generative AI capabilities into applications using APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock, or similar). Familiarity with building AI-powered features such as natural language querying, conversational interfaces, or intelligent assistants on top of data applications. Basic understanding of Retrieval-Augmented Generation (RAG) concepts and vector databases (e.g., ChromaDB, Pinecone, FAISS, or similar).

Experience

using Python libraries for AI/LLM integration (LangChain, LlamaIndex, or equivalent frameworks). Understanding of prompt engineering and techniques to improve response quality, reliability, and relevance. Awareness of data privacy, security, and responsible AI considerations when working with GenAI-enabled systems.

Experience

Minimum 5+ years of professional

experience

in Python development. Strong track record of building web applications with Streamlit and integrating real-time databases. Hands-on

experience

defining insights and creating visualizations in Power BI. Proven expertise in working with relational (e.g., SQL, PostgreSQL) and non-relational (e.g., MongoDB) databases. Technical

Skills

Strong understanding of Python frameworks and libraries for data processing. Proficiency with database design, optimization, and analytics. Familiarity with cloud environments and DevOps practices for application deployment. Soft

Skills

Strong problem-solving, analytical, and debugging skills. Excellent communication

skills

– ability to articulate concepts and solutions clearly. Good to Have (GenAI / AI Skills):

Experience

integrating Generative AI capabilities into applications using APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock, or similar). Familiarity with building AI-powered features such as natural language querying, conversational interfaces, or intelligent assistants on top of data applications. Basic understanding of Retrieval-Augmented Generation (RAG) concepts and vector databases (e.g., ChromaDB, Pinecone, FAISS, or similar).

Experience

using Python libraries for AI/LLM integration (LangChain, LlamaIndex, or equivalent frameworks). Understanding of prompt engineering and techniques to improve response quality, reliability, and relevance. Awareness of data privacy, security, and responsible AI considerations when working with GenAI-enabled systems.