Description

Design, develop, and maintain large-scale data pipelines using PySpark and Databricks. Build efficient ETL/ELT solutions to ingest, transform, and process structured and semi-structured data. Optimize Spark jobs for performance, scalability, and cost efficiency. Develop reusable data engineering frameworks and best practices. Create and maintain data models, data marts, and analytical datasets. Implement data quality checks, monitoring, and governance controls. Design and develop Agentic AI solutions using LLM-based frameworks. Build autonomous AI agents capable of reasoning, planning, and task execution

Key Skills

Education

Any Gradute