Bigdata QA

Location IN-Bangalore
Job ID
Gobinath M
Employment Type
Employee (Full-time)
Position Level


Zebra Technologies (, NASDAQ:ZBRA) builds tracking technology and solutions that generate actionable information and insight, giving companies unprecedented visibility into their businesses by giving physical things a digital voice. Globally Managed Support Services (GMSS) is an exciting part of the Zebra Technologies business, created to deliver innovative service offerings that increase the productivity and efficiencies of businesses and public organizations across key vertical markets. The Service Technologies team within GMSS is looking for an experienced ETL QA Engineer to develop new products, enhance and support existing products.


The QA Engineer will be part of a team developing and supporting a customer and partner facing cloud based Big Data Analytics platform using latest technologies like EMR, Hadoop, Machine Learning, Predictive Analytics, Java, Angular etc. This platform gives our customers, partners, and professional services teams valuable insights and statuses into operational assets. Being a data platform, the accuracy of the data being presented becomes the core attribute. The resource should have practical, hands-on experience in all areas of QA. The primary objective of this role is to work with ETL development teams to automate the QA testing of the pipelines and manual testing to help develop, maintain and improve the products.


The QA Automation Engineer will have a wide variety of responsibilities

  • Hands on involvement in all ETL development and maintenance projects. Test Planning, Test Scenarios, Manual Testing, Test Automation, Test Framework creation/maintenance and Defect Logging and verification.
  • Actively participate and contribute in reviews of ETL/Data requirements/stories, design, schedules, and test plans.
  • Apply QA best practices from project inception to deployment and beyond.
  • Analyze all the data scenarios and prepare test cases to ensure full coverage
  • Ensures that the reliability, performance, and functionality of assigned features and functionality meet or exceed business goals.
  • Work to uncover possible defect causes and work with developer community to find solutions
  • Will participate in manual testing and automated testing


  • 3+ years overall QA experience both Manual and Automation with large data platforms and ETL
  • 2+ years experience with automated data testing platforms including Selenium, Cucumber etc
  • ETL performance testing
  • 2+ years of experience testing on BigData platforms and technologies like Hadoop, Spark, Hive, Pig, Scala, Java etc
  • Good scripting skills around test automation like JavaScript, Ruby, Python etc
  • Job scheduler experience with tools like Jenkins or Hudson
  • Familiarity with build tools like Maven, Grunt is a plus
  • Familiar with version control using Git
  • Skilled in reading log files. Good analytic skills to determine root cause of issues based on logs.
  • Dedicated to continuous improvement process including designing and documenting processes.
  • Experience testing NoSQL technologies Cassandra and Elastic Search a plus
  • Experience testing Oozie, Kafka, or Spark a plus
  • Knowledge of basic SQL a plus
  • Must have the ability to take initiative and be entrepreneurial
  • Excellent communication skills, both oral and written
  • Must be a team player

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