Senior ETL Tester - Azure & Databricks Data Quality

Robotics Technologies LLC; Irving (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Robotics Technologies LLC in Irving, Texas is seeking an experienced Senior ETL Tester to lead validation of data pipelines in Azure and Databricks. The role focuses on data migration, data quality, and end-to-end testing in cloud environments.

The ideal candidate will write complex SQL for data checks, collaborate with data engineers and business teams, and ensure data integrity across source and target systems. This is an on-site role in the Dallas area with equal opportunity employment.

Qualifications

• Strong experience in ETL Testing and Data Warehouse Testing.
• Hands-on experience with Azure Data Factory and Azure cloud services.
• Working experience with Databricks and PySpark.
• Strong SQL skills, including complex queries and data validation.
• Experience with data migration, data reconciliation, and data quality testing.
• Understanding of cloud-based data pipelines and workflows.

Responsibilities

• Perform ETL testing and validate data extraction, transformation, and loading processes.
• Validate data accuracy, completeness, integrity, and consistency across source and target systems.
• Write and execute complex SQL queries for data validation and reconciliation.
• Identify, troubleshoot, and report data-related defects.
• Perform end-to-end, functional, regression, and integration testing.
• Collaborate with data engineers, developers, and business teams to resolve issues.

Skills

ETL Testing

Data Warehouse Testing

SQL

Data validation

Data quality testing

Cloud knowledge

Tools

Azure Data Factory

Databricks

PySpark

Job description

Robotics Technologies LLC in Irving, Texas is seeking an experienced Senior ETL Tester to lead validation of data pipelines in Azure and Databricks. The role focuses on data migration, data quality, and end-to-end testing in cloud environments.

The ideal candidate will write complex SQL for data checks, collaborate with data engineers and business teams, and ensure data integrity across source and target systems. This is an on-site role in the Dallas area with equal opportunity employment.