Description

You will lead ETL and data warehouse testing efforts to ensure data integrity across complex environments.

This role is on-site.

Responsibilities

• Develop and execute source-to-target comparison test cases using expert-level SQL.
• Validate data warehouse concepts and data marts to ensure architectural accuracy.
• Manage testing workflows within Agile frameworks including Kanban and Scrum.
• Utilize PySpark and Python to facilitate data validation processes.

Required Skills

• 10+ years of experience in ETL and data warehouse testing.
• Expert proficiency in SQL for complex data validation.
• Hands-on experience with PySpark and Python.
• Proficiency with Git, JIRA, and JTMF.
• Deep understanding of data marts and data warehouse concepts.
• Experience working in Agile environments using Kanban and Scrum.

Preferred Skills

• Familiarity with Tosca BI/DI automation tools.
• Experience with Autosys.

Key Skills

Education

Any Graduate