This is a fully remote position, open to applicants in Singapore.

• Develop and implement test cases for ETL workflows that transfer data into and out of MongoDB and Azure data services.

• Ensure the accuracy, completeness, and transformation logic of data from source systems to Power BI dashboards.

• Create and sustain automated testing frameworks for user interface, API, and data layer assessments.

• Construct MongoDB aggregation queries and SQL scripts to confirm data integrity and reconciliation.

• Evaluate Power BI reports and dashboards for data accuracy, calculation logic, and reliability of refresh processes.

• Assess Azure Data Factory pipelines, Azure Functions, and associated data workflows.

• Incorporate automated testing into CI/CD pipelines using Azure DevOps and GitHub Actions.

• Partner with data engineers, BI developers, and product teams to formulate testing strategies.

• Detect, document, and monitor defects until resolution.

• Practical experience with MongoDB, including aggregation pipelines, indexing, and query optimization.

• Familiarity with Azure data services such as Data Factory, Synapse, Blob Storage, or Databricks.

• Background in testing Power BI reports, including validation of DAX measures, data models, and visualizations.

• Expertise in at least one automation framework, such as Playwright, Selenium, Cypress, or PyTest.

• Programming skills in Python, JavaScript/TypeScript, or C#.

• Experience in API testing with tools like Postman, REST Assured, or similar solutions.

• Strong SQL capabilities for cross-validation with relational data sources.

• Flexible work arrangements.

Data Test Engineer

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