IT Software Quality Engineering- JG4

Job Description

Skillset :Azure data Engineer Expected Skills Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience/Knowledge in working with NoSQL databases and can create E2E pipelines. Highly Experienced in building and optimizing complex queries. Good with manipulating, processing and extracting value from large, disconnected datasets. Proven Experience in working any one of the data engineering technologies and ADLS, ADF, Azure Databricks, Azure SQL, Synapse, SAP HANA. Your experience in handling big data sets and big data technologies will be an asset. Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Spark-SQL/ PySpark. Beneficial: Knowledge of C# Experience using Azure DevOps as a test management tool. Experience using Git for version management. Experience using JIRA. Experience with agile methodologies. Experience in writing Manual test scenarios and test cases to high degree of quality. Skills: Excellent hands on experience of writing manual test scenarios using best practices. Excellent hands on experience of writing automation test scripts using testing best practices. Excellent knowledge of modular coding approaches and the Page Object Model. Proficient in debugging and diagnosing test failures, able to identify and rectify false positives and false negatives. Responsibilities Design, develop, and maintain automated tests to validate the functionality, performance, and reliability of an enterprise application using C# and Playwright. Work effectively with the other testing teams as well as the BAs and PMs, to ensure the testing strategy is effectively implemented. Execute tests, BOTH automated and manual. Analyze results, and report defects and issues. Willingness to perform manual tests alongside automation testing is a MUST. Continuously improve the test automation framework and testing processes to enhance efficiency, reliability, and maintainability. Mentor and guide less senior QA engineers in best practices for test automation and quality assurance.