Role-Data Tester

Type-Contact role

Location –Australia-Sydney

Key Responsibilities
Perform end-to-end Data Warehouse testing, including ETL, data migration, data integration, and reporting validation.
Develop and execute test plans, test cases, test scenarios, and test scripts based on business and technical requirements.
Perform detailed SQL queries for data validation, reconciliation, and backend testing.
Validate data transformation logic, source-to-target mappings, and data quality rules.
Conduct testing across cloud data warehouse platforms such as Azure Synapse, Snowflake, AWS Redshift, Google BigQuery, or similar.
Perform ETL testing to validate data extraction, transformation, and loading processes.
Identify data discrepancies, investigate root causes, and work closely with Data Engineers and Business Analysts for resolution.
Execute regression, integration, system, and performance testing for data solutions.
Validate BI reports and dashboards against warehouse data.
Participate in Agile/Scrum ceremonies including sprint planning, stand-ups,



reviews, and retrospectives.
Create and maintain test documentation, defect reports, and test execution reports.

Mandatory Skills & Experience
Robust experience as a Data Warehouse Test Analyst / ETL Test Analyst / BI Test Analyst.
Hands-on experience with SQL including complex queries, joins, aggregations, and data reconciliation.
Star/Snowflake schemas
Fact and Dimension tables
Data modelling concepts
Data quality and validation techniques
Experience testing ETL/ELT pipelines and data integration processes.
Experience working with at least one cloud data platform, such as:
Azure Synapse Analytics / Azure Data Factory
Snowflake
AWS Redshift / Glue
Google BigQuery
Experience with test management and defect tracking tools (JIRA, Azure DevOps, HP ALM, or similar).
Solid analytical and problem-solving skills with attention to data accuracy and quality.
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