Description

You will develop and implement a HIPAA compliant cloud-based data aggregation system.

Responsibilities

• Design and develop ETL processes using AWS Athena Lake and MS SQL platforms.
• Automate ETL solutions for data cleansing, validation, and preparation using AWS Glue, AWS Data Quality, and Lambda.
• Build operational dashboards to monitor data aggregation processes using custom functions and PowerBI.
• Implement AI-driven workflows for common use cases including RAG, classification, and data feature extraction.

Required Skills

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

Preferred Skills

• Experience building HIPAA compliant data systems.

Key Skills

Education

Any Gradute