Data Tester: ETL Validation & DataStage Expert

Ntt; Australia; On-site; AUD 90,000 - 120,000; Full time

Job summary

NTT is seeking an experienced Data Tester in Australia to validate data transformations and migrations across enterprise projects. The role focuses on ETL and data warehouse testing, ensuring data integrity and quality throughout the testing lifecycle.

Ideal candidates will perform SQL-based data validation, collaborate with data engineers and business analysts, and support SIT/UAT and migration cutovers in Agile or Waterfall environments.

Qualifications

• Proven experience as a Data Tester in complex enterprise environments.
• Strong SQL skills with the ability to write complex queries for data validation and analysis.
• Extensive experience in ETL Testing and Data Warehouse Testing.
• Strong hands-on experience with IBM DataStage.
• Experience with data migration testing, data quality assurance, and data profiling.
• Experience with data transformations, migrations, and integration programs.

Responsibilities

• Conduct data quality testing, ensuring accuracy, completeness, consistency, and integrity of migrated data.
• Execute database testing using SQL queries and data validation techniques.
• Develop and maintain test cases, test scripts, and test evidence.
• Support System Integration Testing (SIT), User Acceptance Testing (UAT), and migration cutover activities.
• Identify, analyse, track, and manage defects through to resolution.
• Collaborate with business analysts, data engineers, developers, and stakeholders to ensure successful delivery outcomes.

Skills

IBM DataStage

ETL Testing

Data Warehouse Testing

SQL

Agile/Waterfall

Data Quality Assurance

Tools

Jira

Azure DevOps

ALM

IBM Infosphere suite

Job description

NTT is seeking an experienced Data Tester in Australia to validate data transformations and migrations across enterprise projects. The role focuses on ETL and data warehouse testing, ensuring data integrity and quality throughout the testing lifecycle.

Ideal candidates will perform SQL-based data validation, collaborate with data engineers and business analysts, and support SIT/UAT and migration cutovers in Agile or Waterfall environments.