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
Expert with 8.5 to 10+ years of hands-on experience
ETL Process , SQL, Databricks
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time