Python+ AI Developer

Job Description: Python + AI Company: Wissen Technology Location: Bangalore, India Experience: 5+Years Employment Type: Full-Time Role: Python + AI / Data Engineer About the Role Wissen Technology is looking for experienced Python + AI / Data Engineering professionals to join our technology team in Bangalore. The ideal candidate will have strong hands-on experience in Python, Artificial Intelligence, Generative AI, PySpark, Snowflake, and data pipeline development . The candidate should be capable of designing and developing scalable data and AI solutions, building robust ETL/ELT pipelines, working with large datasets, and integrating AI/ML capabilities into enterprise applications. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and PySpark . Develop robust ETL/ELT pipelines for processing large volumes of structured and unstructured data. Build and optimize data processing solutions using Apache Spark / PySpark . Develop data ingestion and transformation pipelines into Snowflake . Design and implement scalable Snowflake data models, tables, views, and SQL transformations . Work with batch and, where applicable, real-time data processing pipelines. Build and integrate AI and Generative AI solutions using Python. Develop LLM-based applications, RAG solutions, AI agents, and AI-powered services. Integrate AI models with enterprise data platforms and data pipelines. Develop REST APIs and microservices using FastAPI, Flask, or Django . Perform data cleansing, transformation, validation, and quality checks. Optimize PySpark jobs, SQL queries, Snowflake workloads, and data pipelines for performance and scalability. Implement data pipeline monitoring, logging, error handling, and alerting. Work with cloud platforms such as AWS, Azure, or GCP . Collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders. Participate in technical design, architecture, code reviews, and production support. Mentor junior engineers and contribute to engineering best practices. Preferred Qualifications Bachelor's or master's degree in computer science , Engineering, Data Science, Artificial Intelligence , or a related field. Experience working on enterprise-scale AI and data engineering projects . Experience combining Python + PySpark + Snowflake + AI/GenAI in production environments. Experience with Databricks is an advantage. Experience with AI Agents / Agentic AI and tool/function calling. Knowledge of distributed systems and cloud-native architecture. Experience leading technical initiatives or mentoring engineering teams.