Data Engineer

AWS Data Engineer
Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.
Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.
Create and manage applications using Python, SQL, Databricks, and various AWS technologies.
Automate repetitive tasks and build reusable frameworks to improve efficiency. 

Skill Proficiency Level expected 
AWS Data Engineer - AWS Glue, Amazon Redshift, S3 
ETL Process , SQl, Databricks