Engineer Big Data QA
About the Role
Key Responsibilities Perform backend data validation by writing and executing SQL queries Validate data flow and transformations across systems, including backend services Execute test scenarios in Linux/Unix environments, including log verification Collaborate with developers, product owners, and DevOps to understand requirements and deliver test coverage Contribute to test plans, test reports, and defect tracking using tools like JIRA Participate in exploratory, regression, and integration testing cycles Validate Big Data workflows (e.g., Hive, Spark, HDFS) for data consistency and completeness Required Skills & Qualifications Solid working knowledge of SQL (Joins, aggregation, data validation) Comfortable working in Linux-based environments (shell commands, logs, scripting basics) Experience with test case management and defect tracking tools like JIRA, Bugzilla, TestRail Understanding of the software development lifecycle (Agile/Scrum) Exposure to Big Data testing using tools like Hive, Hadoop, HDFS, or Spark Exposure to ETL testing Familiarity with CI/CD tools (Jenkins, Bitbucket Pipelines, etc.) Experience with automation frameworks or scripting (Python, Bash, etc.)
Skills Required
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