10 Aug
|
Ampstek
|
Sydney
Job Summary
We are looking for an experienced Azure Data Test Engineer with robust expertise in Databricks, Azure Data Factory (ADF), and SQL. The ideal candidate should have hands-on experience in data migration, ETL/ELT testing, data reconciliation, and cloud-based data analytics projects. You will be responsible for validating data pipelines, ensuring data integrity, and supporting enterprise-scale Azure data platform implementations.
Key Responsibilities
Design, develop, and execute test cases for ETL/ELT data migration projects.
Automate ETL validation by writing complex SQL scripts using Databricks and QuerySurge.
Perform technical and business data reconciliation between source and target systems.
Validate Change Data Capture (CDC), event-driven processing, and data transformation logic.
Perform data integrity, completeness, and accuracy validation across multiple data sources.
Execute database testing involving structured, semi-structured, XML,
and flat-file data.
Raise, track, and resolve defects throughout the testing lifecycle.
Required Skills
Hands-on experience with Databricks
Solid knowledge of Azure Data Factory (ADF)
Advanced SQL scripting and query optimization
ETL/ELT Testing
Database Testing
Data Migration Testing
Data Reconciliation
Data Integrity Validation
Change Data Capture (CDC)
Azure Data Platform
Required Experience
Minimum 6+ years of experience in Data Testing or Database Testing.
Experience validating ETL/ELT data pipelines.
Solid experience in SQL for validating data from databases, files, and XML.
Hands-on experience with Databricks.
Experience working on Azure cloud-based data and analytics projects.
Experience with Agile/Scrum methodologies.
📌 Azure Data Test Engineer Sydney
🏢 Ampstek
📍 Sydney