Senior ETL Tester - Azure Data Factory & Databricks

Ethereum Technologies; Irving (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Ethereum Technologies in Irving, TX is seeking a Senior ETL Tester with hands-on experience in ETL testing, Azure, and Databricks to validate data pipelines and ensure data quality across cloud environments.

You will write complex SQL queries, perform end-to-end testing, and collaborate with data engineers and business teams to resolve issues, with focus on data migration, transformation, and reconciliation.

Qualifications

• Experience in ETL testing and data warehouse testing.
• Hands-on with Azure Data Factory and Azure cloud services.
• Proficient with Databricks and PySpark.
• Strong SQL skills for data validation and reconciliation.
• Experience with data migration, reconciliation, and quality testing.
• Understanding of cloud-based data pipelines and workflows.

Responsibilities

• Perform ETL testing and validate data extraction, transformation, and loading processes.
• Work with Azure Data Factory and Databricks for data pipeline validation.
• 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

Azure Cloud Services

Databricks

PySpark

SQL

Data Migration

Data Reconciliation

Data Quality Testing

Cloud Data Pipelines

Job description

Ethereum Technologies in Irving, TX is seeking a Senior ETL Tester with hands-on experience in ETL testing, Azure, and Databricks to validate data pipelines and ensure data quality across cloud environments.

You will write complex SQL queries, perform end-to-end testing, and collaborate with data engineers and business teams to resolve issues, with focus on data migration, transformation, and reconciliation.