You will manage data pipelines and analytics workflows within an AWS environment.
Responsibilities
- Develop and maintain data processes using Python and SQL.
- Manage datasets and query performance within Redshift.
- Utilize Git for version control and Jira for task tracking.
- Support analytics requirements through BI and reporting tools.
Required Skills
- 10+ years of professional data engineering experience.
- Proficiency in Python.
- Advanced SQL skills.
- Hands-on experience with Amazon Redshift.
- Experience with Git version control.
- Experience using Jira for project management.
- Competency with BI and reporting tools.
- Background in analytics.
- Any graduate degree.