Quality Assurance Engineer - Big Data & Analytics

Role : QA Engineer. Experience : 5 Years. Location : Noida/Pune. Mode : Work from Office. Role Overview : We are seeking a highly skilled and experienced QA Engineer with a strong background in Big Data and Data Analytics projects. The ideal candidate will have hands-on experience in both manual and automated testing of large-scale data systems, ensuring high-quality deliverables. You will play a critical role in testing data processing pipelines, analyzing large datasets, and ensuring the accuracy, integrity, and reliability of data in the system. Your role will include collaborating with cross-functional teams to develop and execute comprehensive test plans and test cases, identifying issues, and ensuring the stability of our Big Data systems. Key Responsibilities : - Test Planning and Strategy : Design and implement comprehensive test plans, test cases, and testing strategies for Big Data and Data Analytics systems. - Manual Testing : Perform thorough manual testing for data validation, data integrity, performance, and functional testing of large-scale data platforms and analytics systems. - Automation Testing : Develop and maintain automated test scripts to ensure efficient testing of data pipelines, databases, and analytics platforms. - Big Data Systems Testing : Work with Big Data tools and platforms (such as Hadoop, Spark, Hive, etc.) to test data processing pipelines and ensure the quality of data flow across different stages. - Data Validation : Validate data accuracy and consistency, including source-to-target data mapping, transformations, and aggregations. - Performance Testing : Conduct performance and load testing on data processing systems to ensure scalability and efficiency of data processing at large volumes. - Collaboration : Collaborate with data engineers, data scientists, and developers to identify and resolve data quality issues, performance bottlenecks, and bugs. - Defect Reporting : Identify, log, and track defects in testing tools, ensuring they are resolved efficiently and effectively. - Test Documentation : Maintain clear and detailed documentation of test cases, results, and defect reports, ensuring they meet project standards and best practices. - Continuous Improvement : Provide feedback on testing processes and propose improvements to enhance test coverage, efficiency, and quality. Key Requirements : - Experience : Minimum of 5 years of experience in QA Engineering, with a focus on Big Data, Data Analytics, or similar large-scale data systems. - Big Data Testing : Hands-on experience in testing Big Data platforms (Hadoop, Spark, Hive, Kafka, etc.) and working with large datasets. - Manual Testing : Proficient in manual testing techniques, including functional, integration, system, and regression testing. - Automation Testing : Experience with test automation frameworks (e.g, Selenium, TestNG, JUnit, etc.) and scripting languages like Python, Java, or Shell for automating tests. - Data Validation : Strong understanding of data validation techniques, ETL processes, and database testing. - SQL Knowledge : Proficiency in SQL for querying and validating data in relational and NoSQL databases. - Performance Testing : Experience with performance and load testing tools such as JMeter or similar for testing data systems. - Tools & Technologies : Familiarity with testing tools such as JIRA, QTP, or LoadRunner. - Agile Methodology : Experience working in Agile/Scrum environments with familiarity in test-driven development (TDD) and continuous integration/continuous deployment (CI/CD) practices. - Problem Solving : Strong analytical and problem-solving skills with the ability to troubleshoot data issues and technical challenges. - Communication : Excellent written and verbal communication skills, with the ability to collaborate with cross-functional teams. (ref:hirist.tech)

Location: in, IN

Posted Date: 4/19/2025