Description

You will design and build HIPAA-compliant cloud data aggregation systems, focusing on ETL automation, AI-driven workflows, and operational monitoring.

This role is on-site.

Responsibilities

• Design and develop ETL processes using AWS Athena, Lake, and MS SQL platforms.
• Automate data cleansing, validation, and preparation pipelines using AWS Glue, AWS Data Quality, and Lambda.
• Build operational dashboards to monitor data aggregation using custom functions and PowerBI.
• Implement AI-driven workflows including RAG, classification, and data feature extraction using LLMs.
• Ensure all systems adhere to HIPAA compliance standards.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong SQL skills, including complex queries, stored procedures, performance tuning, window functions, and analytic functions.
• Hands-on experience with MS SQL platforms.
• Proficiency with AWS Lambda and AWS Glue.
• Experience building ETL pipeline automation.
• Ability to build visualizations and dashboards in PowerBI.
• Knowledge of Large Language Models (LLMs) and RAG implementation.

Preferred Skills

• Experience building HIPAA compliant data systems.

Key Skills

Education

Any Gradute