QA Analyst/Testing Engineer

About the Company

MNJ SOFTWARE is a rapidly growing leader in the Information Technology sector, renowned for delivering innovative IT services, business solutions, and outsourcing capabilities to global clients. With a strong focus on excellence and customer satisfaction, MNJ SOFTWARE offers a comprehensive portfolio that includes business and technology consulting, application development, systems integration, product engineering, and independent testing and validation services. The company operates through a unique Global Network Delivery Model, ensuring high-quality service delivery across different geographies. Committed to building long-term strategic relationships, MNJ SOFTWARE emphasizes integrity, professionalism, and continuous improvement. The organization is dedicated to empowering its employees and fostering an inclusive environment, making it an ideal place for professionals seeking growth and impactful work in the IT industry.

About the Role

The Big Data QA Analyst/Testing Engineer - Hadoop at MNJ SOFTWARE is a key role responsible for ensuring the quality and reliability of big data solutions, specifically within Hadoop ecosystems. This position involves designing, developing, and executing comprehensive test strategies and plans to validate data analytics and integration processes. The role requires close collaboration with project leads, developers, testers, and business stakeholders to ensure that deliverables meet specified requirements and quality standards. The ideal candidate will have a strong background in testing big data platforms, including Hadoop, Hive, Pig, Flume, and Oozie, along with experience in SQL, unstructured data, and scripting languages. The position offers an exciting opportunity to work in a dynamic environment, contributing to the development of robust data solutions that support business decision-making and digital transformation initiatives.

Qualifications

• ME/M.Tech/BE/B.Tech/MCA/M.Sc (IT) or equivalent
• Minimum of 3-6 years of experience in testing BI and analytics solutions
• Proficiency in writing and executing integration test plans and scenarios
• Hands-on experience with Oracle database, Hadoop, Hive, Pig, Flume, and Oozie
• Strong SQL skills and experience working with large volumes of unstructured data
• Knowledge of UNIX and Linux sequence files
• Understanding of Hadoop clusters and security protocols
• Familiarity with Java, Python, and shell scripting is preferred
• Experience creating test data, load testing, and performance testing scripts
• Ability to develop comprehensive test strategies and collaborate with cross-functional teams

Responsibilities

• Develop detailed test strategies, plans, and test cases for big data implementations
• Execute testing activities for data analytics and integration projects within defined timelines and budgets
• Collaborate with business stakeholders, analysts, and developers to ensure quality standards are met
• Review and validate test plans, test cases, and testing processes with the core team
• Identify, document, and track defects and issues, ensuring timely resolution
• Establish and maintain testing best practices and continuous improvement processes
• Participate in requirement reviews, design discussions, and development assessments
• Support the growth of analytic practices by implementing scalable testing methodologies
• Perform load, stress, and performance testing to validate system robustness and scalability
• Maintain comprehensive documentation for testing activities and outcomes

Benefits

• Competitive salary package aligned with industry standards
• Flexible work-from-home arrangements
• Opportunities for professional growth and development
• Inclusive and diverse work environment
• Reimbursement benefits as per industry standards
• Access to cutting-edge technology and projects
• Supportive team culture focused on innovation and excellence

Equal Opportunity

MNJ SOFTWARE is an equal opportunity employer committed to creating an inclusive environment for all employees. We do not discriminate based on race, gender, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected category. We value diversity and are dedicated to providing a workplace where everyone can thrive and contribute to our collective success.