Description

You will design and develop ETL processes, build data pipelines, and implement LLM-based solutions using AWS services.

This role is on-site.

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 Power BI.
• Implement LLM-based solutions for use cases including RAG, classification, and data feature extraction.
• Develop and optimize complex SQL queries, stored procedures, and performance tuning.

Required Skills

• 5+ years of experience in data engineering.
• Strong SQL expertise including window functions, analytic functions, and complex queries.
• Experience with AWS services including Athena, Glue, Lambda, and AWS Data Quality.
• Proficiency in MS SQL platform.
• Knowledge of LLMs and practical applications such as RAG and classification.
• Experience building data visualizations in Power BI.
• Ability to perform SQL performance tuning and manage stored procedures.

Key Skills

Education

Any Gradute