Key skills
AWSETLPythonSQLData EngineeringGlue
About this role
Role Overview
- Act as a bridge between business, technology, and data teams
- Support the evolution of data architecture in an AWS environment
- Develop, maintain, and optimize data pipelines using AWS Glue and other ETL tools
- Actively participate in the migration and modernization of legacy processes
Requirements
- Strong experience and proficiency with AWS
- Experience developing data pipelines and ETL processes
- Knowledge of legacy tools such as PowerCenter
- Experience with data modeling and data engineering best practices
- Proficiency in languages such as Python and SQL
Tech Stack
- AWS
- ETL
- Python
- SQL
Benefits
- Culture of equality
- Diversity and multiculturalism