September 26
• Conduct thorough testing of software applications to ensure high-quality deliverables. • Collaborate with cross-functional teams to understand requirements and design effective test plans. • Develop and execute comprehensive test cases, including regression, performance and security testing. • Design, implement, and maintain automated testing scripts. • Identify, report, and track software defects to resolution. • Debugging and troubleshooting issues within the big data ecosystem • Familiarity with Big data technologies like (Hadoop, hive, presto etc.) • Participate in design and code reviews to ensure testability of features. • Contribute to the continuous improvement of QA processes, framework and methodologies. • Hands-on experience in QA Automation Framework development & Design. • Identifies issues and technical interdependencies and suggests possible solutions. • Recreate complex customer and production reported issues to determine root cause and verify the fix. • Mentor and guide junior QA team members.
• Bachelor's degree in Computer Science, Engineering, or a related field. • Proven experience as a QA Engineer, with a minimum of 5 years in a senior role. • Should have minimum 3 years of experience on working Big Data technologies on cloud & on-premise • Strong understanding of software testing principles and methodologies. • Experience in designing and implementing automated testing solutions. • Proficiency in scripting languages (e.g., Python, Java, or similar). • Familiarity with testing frameworks and other tools (e.g., Selenium, JUnit, TestNG, JMeter, Playwright, K8, Jenkins etc.). • Knowledge of Hadoop and Hadoop Ecosystem components • Solid knowledge of SQL and database testing. • Excellent analytical and problem-solving skills. • Strong communication and collaboration abilities. • Detail-oriented with a commitment to delivering high-quality software. • Self-motivated and fast learner with a strong sense of ownership.
Apply NowSeptember 26
501 - 1000
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