Python Developer

ContenTerra Software Pvt. Ltd.; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading software company in India is seeking a Senior Python Developer experienced in Streamlit and database development. The role involves creating interactive applications, managing cloud deployments, and analyzing data with Power BI. Ideal candidates will have 5+ years of Python experience, strong problem-solving skills, and knowledge of DevOps practices. This position offers opportunities to work on innovative data visualization projects while collaborating across teams.

Qualifications

• 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.

Responsibilities

• 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.
• Conduct code reviews and ensure adherence to software development best practices.
• Manage application deployment and performance monitoring on cloud platforms.
• Address bugs and performance bottlenecks in a timely manner.

Skills

Python development

Streamlit

Power BI

Database management

AWS/GCP/Azure

Problem-solving

Communication

Tools

SingleStore

Snowflake

SQL Server

MongoDB

PostgreSQL

Job description

Contenterra Software Pvt Ltd | Full time

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.