Responsibilities:

Develop and execute test plans, test cases, and test scripts for our big data systems and processes
Identify and report defects, track and manage defects to resolution
Work closely with development and data science teams to understand requirements and ensure test coverage
Design and develop automated tests to validate the functionality, performance, and scalability of our big data solutions
Monitor and analyze data quality and performance in production environments
Investigate and troubleshoot data issues, provide root cause analysis and recommendations for resolution
Collaborate with cross-functional teams to ensure timely delivery and high-quality big data solutions
Continuously improve and optimize testing processes and procedures
Stay up-to-date with industry trends and best practices in big data testing

Requirements:

Bachelor's degree in Computer Science, Engineering or a related field
Minimum of years of experience in software testing, with at least years of experience in big data testing
Strong understanding of big data technologies, such as Hadoop, Spark, Hive, and Kafka
Hands-on experience with SQL and scripting languages, such as Python or Java
Experience with testing tools, such as Selenium, JMeter, or LoadRunner
Proven track record of designing and executing test plans and test cases for big data solutions
Excellent analytical and problem-solving skills
Strong attention to detail and ability to work in a fast-paced, dynamic environment
Excellent communication and collaboration skills

Apply now and become a part of our growing organization.

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