QA Engineer

Job Title:

Location:

About the Role

We are seeking a QA Engineer with deep expertise in ETL and backend testing to join our Quality Engineering team. You will be part of a project for a global leader in real estate and property management, focusing on testing complex data pipelines and ensuring data reliability across analytics and reporting systems. The ideal candidate has a strong testing mindset with hands-on experience in designing test strategies, building automation frameworks, validating data transformations, and assuring quality in modern data ecosystems.

Required Skills and Qualifications

• 5+ years of experience in ETL / Backend / Data Testing
• Proficiency in Python, PySpark, and Pytest for automation and validation
• Advanced knowledge of SQL (joins, CTEs, window functions)
• Test Delta Lake and DLT pipelines, ensuring schema consistency, ACID compliance, lineage accuracy, and orchestration flow.
• Exposure to Azure Data Factory, Synapse, Storage, and Functions

Key Responsibilities

• Develop and execute comprehensive test plans, test cases, and test data strategies for ETL/ELT and data integration pipelines.
• Validate source-to-target mappings, business rules, and transformation logic using SQL and PySpark.
• Design and maintain automated testing frameworks using Python, PySpark, and Pytest.
• Conduct API and integration testing for data ingestion and pipeline workflows.
• Identify defects, document issues, and work closely with development teams to resolve them efficiently.
• Ensure adherence to test governance, version control, and quality assurance standards.

Ready to test, validate, and make an impact? Let's connect