Description

You will own the quality assurance of data integration pipelines, ensuring data accuracy and system reliability across AWS and Snowflake environments.

This role is hybrid.

Responsibilities

• Execute comprehensive ETL testing strategies to validate data extraction, transformation, and loading processes.
• Design and maintain automated test scripts using Python and Selenium to improve test coverage and efficiency.
• Write and optimize complex SQL queries to verify data integrity and reconcile source-to-target mappings.
• Collaborate with engineering teams to troubleshoot pipeline failures and resolve data discrepancies.
• Manage and validate DAG configurations for scheduled data workflows.

Required Skills

• 6+ years of hands-on experience in ETL testing and data quality assurance.
• Strong proficiency in SQL for data validation, complex joins, and aggregation.
• Experience with AWS data services and Snowflake data warehousing.
• Proficiency in Python for writing automation scripts and testing utilities.
• Practical experience with Selenium for UI or API automation testing.
• Understanding of DAG (Directed Acyclic Graph) structures and workflow management.

Preferred Skills

• Familiarity with CI/CD pipelines for data testing.
• Experience with other cloud data platforms beyond AWS and Snowflake.

Key Skills

Education

Any Graduate