QA Tester-with Python, Pyspark, CosmosDB, Azure

​Job Title: QA Tester-with Python, Pyspark, CosmosDB, Azure Location: Hybrid, London UK (1days/Week Onsite) Duration: 6 months+ Contract Inside IR35 Job Overview: We are seeking a skilled QA Tester with strong experience in Python, PySpark, Azure, and CosmosDB to support data validation and testing activities for a leading banking client. The ideal candidate will have hands-on experience in testing large-scale data pipelines, cloud-based applications, and distributed data systems within a financial services environment. Key Responsibilities: Design, develop, and execute test cases for data pipelines built using Python and PySpark Validate large datasets and ensure data accuracy, completeness, and consistency Perform backend testing on Azure-based applications and services Validate and test data stored in CosmosDB Conduct functional, regression, integration, and system testing Create automated test scripts using Python Identify, log, and track defects using standard defect management tools Work closely with Developers, Data Engineers, and Business Analysts Ensure compliance with banking data governance and security standards Required Skills: Strong experience in Python for automation and data validation Hands-on experience with PySpark and large-scale data processing Experience working with Azure Cloud services (Data Factory, Databricks, Azure SQL, etc.) Good knowledge of CosmosDB (NoSQL database testing) Strong understanding of ETL testing and data validation techniques SQL knowledge for backend/database validation Experience in Agile/Scrum environment Excellent analytical and problem-solving skills Preferred Skills: Experience in Banking or Financial Services domain Knowledge of CI/CD pipelines in Azure DevOps Exposure to API testing tools (Postman, REST Assured, etc.) ​ If this role is of interest to you, apply now!