Description

You will lead quality assurance for database and data warehousing environments, ensuring data integrity across ETL pipelines and cloud platforms.

This role is on-site.

Responsibilities

• Perform reverse engineering of data differences using databases and SQL scripts.
• Test ETL data pipelines through manual methods or automated tools.
• Execute complex SQL and NoSQL statement testing to ensure data accuracy.
• Validate data integrity across Big Data and cloud-based environments.

Required Skills

• 10+ years of experience in Database and Data warehousing testing.
• 7+ years of ETL testing experience.
• Advanced SQL and NoSQL proficiency.
• 3+ years of Big Data testing using Hadoop, Hive, PySpark, and Python.
• 2+ years of testing experience within AWS and Snowflake environments.
• Experience with Automation testing.

Preferred Skills

• Experience with SSIS and SQL Server testing.

Key Skills

Education

Any Graduate