ETL QA Tester – Databricks

Tasks

• Design, develop, and execute test cases for ETL processes and data pipelines.
• Perform data validation, data reconciliation, and end-to-end testing of data workflows.
• Strong hands-on experience in testing data pipelines built using Databricks.
• Validate data transformation, data ingestion, and data integration processes.
• Work with complex SQL queries to perform backend testing and data validation.
• Perform testing across data warehouses, data lakes, and big data environments.
• Identify, troubleshoot, and report data quality issues, defects, and inconsistencies.
• Collaborate with Data Engineers, Developers, and Business teams to ensure data accuracy and quality.
• Participate in functional, regression, integration, and performance testing activities.

Requirements

• 11+ Years
• ETL Testing / Data Warehouse Testing
• Databricks
• Advanced SQL
• Data Validation & Data Reconciliation
• Data Pipeline Testing
• Data Quality Testing
• Big Data Testing
• Immediate requirement – Looking for experienced candidates who can join the interview process at the earliest.

Schedule

• Hybrid – Both Locations

How to apply

• DM me or share your updated resume.

Location

• Irving, TX & Chicago, IL