Job
Description
Responsibilities: Develop and execute test scripts to validate data pipelines, transformations, and integrations. Formulate and maintain test strategies including smoke, performance, functional, and regression testing to ensure data processing and ETL jobs meet requirements. Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity. Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards. Continuously enhance automated tests as new features are developed, ensuring timely delivery per defined quality standards. Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform. Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings. Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives. Maintain a comprehensive understanding of the Azure Data Lake platforms data landscape to ensure thorough testing coverage. Skills Experience: 3-6 years of QA experience with a strong focus on Big Data testing, particularly in Data Lake environments on Azures cloud platform. Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks. Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes. Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation. Hands-on experience with Functional system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems. Knowledge and ability to design and execute test cases in a behaviour-driven development environment. Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles. Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management. Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.
