Description

You will build and maintain data pipelines, ETL processes, and reporting infrastructure.

Responsibilities

• Build and manage data pipelines using AWS services.
• Develop and execute data loading, validation, and root cause analysis routines.
• Migrate ETL jobs from legacy systems to AWS Glue and Python.
• Design and implement relational databases, specifically using RDS Aurora Postgres.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert knowledge of SQL for data loading and validation.
• Proficiency in Python and Shell scripting.
• Experience with AWS Glue for ETL processes.
• Hands-on experience with RDS Aurora Postgres.
• Familiarity with AWS Pipeline Build.
• Experience with dimensional data modeling.

Key Skills

Education

Any Graduate