Big Data QA Engineer at Epsilon in Chicago, IL

Big Data QA Engineer at Epsilon in Chicago, IL Job Description: You will be an integral member of our Data QA Team, working side by side with project managers, developers, and other engineering teams to build quality into our applications at every state of development. The successful candidate will be part of a high-performing development team. At Conversant, our applications process 150 billion events resulting in more than 30 TB of data per day, hence we need to ensure the quality of our data is always high. If you consider yourself a data detective, come and join the Data Pipeline QA team at Conversant, where our passion is to find bugs, track them down, and eliminate them. We do this by using the latest Big Data tools and frameworks like Hadoop, Flume, Kafka, Hive, MapReduce, Spark, HBase, Cassandra, among others. Responsibilities: Test applications against business requirements to assure alignment between business needs, the written requirements, and the software delivered. Write, revise and execute test plans that will efficiently test the quality of our software applications. Proactively assess risks and help to find issues as early as possible. Write automated integration tests using Java or Scala. You will be writing code to break code. Develop utility scripts to test, track, and verify defects in software programs. Participation in the release process by assuring only quality software is released to production. Manage multiple project tasks simultaneously. Create new and maintain existing documentation for testing the team's applications. Help to improve our software development process by building in automated integration and regression test suites. Qualifications: Bachelor's Degree in Computer Science (or related coursework or job experience). At least 1.5 years of previous testing experience, preferably backend testing. Organized with attention to detail. Self-starter and able to work independently. Team player with a strong entrepreneurial attitude. Passion for self-improvement and continual learning. Analytical and curious mind with interest in interpreting data. Enthusiastic about helping to deliver high-quality applications, and love to break things and track down bugs. Working knowledge of Java or similar programming languages. Basic understanding of SQL preferred. Unafraid to write code to break code. Experience with any part of the Hadoop stack (MapReduce, Spark, Hive, HBase, Cassandra, etc.) a plus. Salary Range: $80K -- $100K Minimum Qualification: Data Science & Machine Learning, Quality Assurance. Estimated Salary: $20 to $28 per hour based on qualifications. #J-18808-Ljbffr

Created: 2025-02-01