Description

You will own the testing and validation of ETL pipelines and data workflows.

Responsibilities

• Execute end-to-end ETL testing to ensure data integrity and accuracy across pipelines.
• Write and optimize complex SQL queries to validate data transformations and loads.
• Design and implement automated testing scripts using Python and Selenium.
• Validate data flow within AWS cloud infrastructure and Snowflake data warehouses.
• Monitor and test DAG (Directed Acyclic Graph) execution for workflow reliability.

Required Skills

• 6+ years of hands-on experience in ETL testing and data validation.
• Strong proficiency in SQL for complex data querying and verification.
• Experience with AWS cloud services and data engineering tools.
• Familiarity with Snowflake data warehousing and query optimization.
• Ability to write automation scripts using Python.
• Experience with Selenium for UI or workflow automation testing.
• Understanding of DAG structures and orchestration tools.

Key Skills

Education

Any Graduate