Quality Assurance Engineer - Noida - VARAISYS PRIVATE LIMITED

1 day ago

Description

Role: QA Engineer.

Experience: 5+ Years in Quality Assurance, with a strong background in Big Data and Data Analytics projects.

Location: Noida/Pune, India.

Mode: Work from Office environment with flexible working hours.

Job Overview:

We are seeking an experienced QA Engineer to test large-scale data systems and ensure high-quality deliverables.

The ideal candidate will have hands-on experience in both manual and automated testing of Big Data platforms, analyzing large datasets, and ensuring the accuracy and reliability of data in the system.

This role involves collaborating with cross-functional teams to develop and execute comprehensive test plans, 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: Test data processing pipelines using Big Data tools and platforms (such as Hadoop, Spark, Hive, etc.) to 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.
Cross-Functional 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.

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