Description

Own ETL quality assurance for data warehousing systems, validating complex data integrations and ensuring data integrity across cloud platforms.

This role is on-site.

Responsibilities

• Validate ETL processes and data warehousing concepts using advanced SQL queries.
• Execute automation testing scripts using Python and pandas for data frame validation.
• Combine multiple data sources into unified systems and verify accuracy using pandas data frames.
• Apply software testing best practices to troubleshoot complex data issues.
• Collaborate with cross-functional teams to ensure compliance with Insurance domain regulations.

Required Skills

• 8+ years of experience in quality assurance, specifically in ETL and data warehousing.
• Strong proficiency in SQL for data extraction, transformation, and validation.
• Experience with cloud data platforms, preferably Snowflake.
• Hands-on experience in automation testing using Python and pandas.
• Knowledge of software testing methodologies and tools.
• Familiarity with Insurance domain concepts and regulatory requirements.

Preferred Skills

• Experience validating large-scale data integrations.
• Strong analytical and problem-solving abilities.

Key Skills

Education

Bachelor's degree