Description

You will lead quality assurance efforts for Enterprise Data Warehouse projects, ensuring data integrity and adherence to SDLC processes.

This role is on-site.

Responsibilities

• Develop test strategies and plans for Data Warehouse projects to ensure full coverage of requirements.
• Execute ETL validation, including data profiling, reconciliation, metadata validation, and SCD type testing.
• Perform functional, regression, negative, and migration testing using manual and automated processes.
• Execute database queries within Azure DevOps to support test execution and troubleshooting.
• Collaborate with technology teams to identify, document, and triage defects while communicating status to stakeholders.

Required Skills

• Minimum 5 years of ETL testing experience in a data warehouse environment.
• Minimum 5 years of experience writing SQL queries.
• Minimum 5 years of experience analyzing data and resolving data quality issues.
• Minimum 2 years of experience with Snowflake and AWS Cloud.
• Proficiency with Snowflake, Snowsight, DataStage, and Python/PySpark.
• Experience leading QA Analysts on project teams.
• Knowledge of AWS, ASG Zena, Infogix, Tableau, Azure DevOps, Mainframe, and SharePoint.

Preferred Skills

• Experience in the financial services industry.
• Experience testing on Snowflake and AWS S3, EC2, or EMR.

Key Skills

Education

Any Gradute