Big Data Tester

Job Description

Job Description We are looking for energetic, high-performing and highly skilled Quality Assurance Engineer to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial Enterprise Personalization portfolio focused on delivering the next generation global marketing capabilities. This team is responsible for Global campaign tracking of new accounts acquisition and bounty payments and leverages transformational technologies, such as SQL, Hadoop, Spark, Pyspark, HDFS, MapReduce, Hive, HBase, Kafka & Java. Focus: Provides domain expertise to engineers on Automation, Testing and Quality Assurance (QA) methodologies and processes, crafts and executes test scripts, assists in preparation of test strategies, sets up and maintains test data & environments as well as logs results. 4 - 6 years of hands-on software testing experience in developing test cases and test plans with extensive knowledge of automated testing and architecture. Expert knowledge of Testing Frameworks and Test Automation Design Patterns like TDD, BDD etc. Expertise in developing software test cases for Hive, Spark, SQL written in pyspark SQL and Scala. Hands-on experience in Performance and Load Testing tools such as JMeter, pytest or similar tool. Experience with industry standard tools for defect tracking, source code management, test case management, test automation, and other management and monitoring tools Experience working with Agile methodology Experience with Cloud Platform (GCP) Experience in designing, developing, testing and debugging, and operating resilient distributed systems using Big Data ClustersGood sense for software quality, the clean code principles, test driven development and an agile mindset High engagement, self-organization, strong communication skills and team spirit Experience with building and adopting new test frameworks.Bonus skills:Testing Machine learning/data mining Roles & Responsibilities Responsible for testing and quality assurance of large data processing pipeline using Pyspark and SQL. Develops and tests software, including ongoing refactoring of code, and drives continuous improvement in code structure and quality• Functions as a platform SME who drives quality and automation strategy at application level, identifies new opportunities and drives Software Engineers to deliver the highest quality code. Delivers on capabilities for the portfolio automation strategy and executes against the test and automation strategy defined at the portfolio level. Works with engineers to drive improvements in code quality via manual and automated testing. Involved in the review of the user story backlog and requirements specifications for completeness and weaknesses in function, performance, reliability, scalability, testability, usability, and security and compliance testing. Provides recommendations Plans and defines testing approach, providing advice on prioritization of testing activity in support of identified risks in project schedules or test scenarios.