Senior ETL Tester: Azure & Databricks Data Validation

Robotic Process Automation LLC; Irving (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Robotic Technologies Automation in the United States is seeking a Senior ETL Tester with hands-on expertise in ETL testing, Azure, and Databricks. The role focuses on validating data quality, migration, transformation, and data validation across cloud-based environments.

You will perform end-to-end testing of ETL pipelines, work with Azure Data Factory and Databricks, write complex SQL queries, and collaborate with data engineers, developers, and business teams to resolve issues.

Qualifications

• Experience in ETL and data warehouse testing in cloud environments.
• Strong SQL with complex queries for validation.
• Hands-on with Azure Data Factory and Databricks.
• Experience with data migration and data quality testing.
• Ability to validate data across source and target systems.

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

Azure Data Factory

Databricks

PySpark

SQL

Data Validation

Data Migration

Data Quality Testing

Cloud-based Pipelines

Tools

Databricks

PySpark

Azure Cloud

Job description

Robotic Technologies Automation in the United States is seeking a Senior ETL Tester with hands-on expertise in ETL testing, Azure, and Databricks. The role focuses on validating data quality, migration, transformation, and data validation across cloud-based environments.

You will perform end-to-end testing of ETL pipelines, work with Azure Data Factory and Databricks, write complex SQL queries, and collaborate with data engineers, developers, and business teams to resolve issues.