Data / Big Data Testing Engineer

As a Data / Big Data Testing Engineer at NPCI, your role will be crucial in ensuring the quality, integrity, and reliability of data pipelines, big data platforms, and associated applications. You will play a significant part in validating data accuracy, performance, and security throughout the data lifecycle. Key Responsibilities: - Design and execute comprehensive test plans and test cases for data warehousing, ETL processes, and big data solutions (e.g., Hadoop ecosystem, Spark). - Perform data validation, data integrity checks, and data quality assessments across various data sources and platforms. - Develop and automate data quality checks and reconciliation processes. - Test data migration processes to ensure accuracy and completeness. - Collaborate with data engineers, data scientists, and business analysts to understand data requirements and identify potential issues. - Identify, document, and track defects, and work with development teams to resolve them. - Evaluate and recommend testing tools and methodologies for big data environments. - Participate in performance testing and tuning of data pipelines and big data applications. - Ensure compliance with data governance and security policies. Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field. - Proven experience in data testing, specifically in big data environments. - Strong knowledge of data warehousing concepts, ETL processes, and big data technologies. - Proficiency in SQL for data validation and testing. - Experience with testing tools and methodologies in big data environments. - Excellent problem-solving skills and attention to detail. (Note: No additional details of the company were mentioned in the job description.) As a Data / Big Data Testing Engineer at NPCI, your role will be crucial in ensuring the quality, integrity, and reliability of data pipelines, big data platforms, and associated applications. You will play a significant part in validating data accuracy, performance, and security throughout the data lifecycle. Key Responsibilities: - Design and execute comprehensive test plans and test cases for data warehousing, ETL processes, and big data solutions (e.g., Hadoop ecosystem, Spark). - Perform data validation, data integrity checks, and data quality assessments across various data sources and platforms. - Develop and automate data quality checks and reconciliation processes. - Test data migration processes to ensure accuracy and completeness. - Collaborate with data engineers, data scientists, and business analysts to understand data requirements and identify potential issues. - Identify, document, and track defects, and work with development teams to resolve them. - Evaluate and recommend testing tools and methodologies for big data environments. - Participate in performance testing and tuning of data pipelines and big data applications. - Ensure compliance with data governance and security policies. Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field. - Proven experience in data testing, specifically in big data environments. - Strong knowledge of data warehousing concepts, ETL processes, and big data technologies. - Proficiency in SQL for data validation and testing. - Experience with testing tools and methodologies in big data environments. - Excellent problem-solving skills and attention to detail. (Note: No additional details of the company were mentioned in the job description.)