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



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