SW Engineer QA - Analytics

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As a QA team member for Analytics, you will help guide the design, implementation, and quality of a major HP cloud service.


  • Architecture and design of unit tests and end to end automation of our big data cloud product
  • Promoting software QA methodologies, tools, and processes
  • Guiding the quality end-to-end of the analytics pipeline for a major HP cloud service
  • Generating of test plans, test cases, and test status for weekly Production releases
  • Reviewing, validating, and investigating code around data analytics
  • Reviewing and validating SQL scripts
  • Help implement production monitoring for an HP big data cloud product.
  • Promoting the Agile Process
  • Contribute to the improvements of the automation framework.

Education and Experience Required:
  • Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
  • Typically, 2+ years strong QA experience.

Knowledge and Skills:
  • Acted in some QA capacity for a production analytics project which utilized Spark or Hadoop.
  • Knowledge or Apache Spark / Hadoop, certification is a plus
  • At least 1+ year experience on AWS utilizing big data services such as Redshift, EMR, Spark Jobs, Cloudwatch, Kinesis, SQS/SNS, and PyTest.
  • 1+ years QA automation (any scripting and nice to have Python) experience.
  • Experience with Database testing and expert knowledge in SQL / NoSQL queries
  • Experience with software engineering best practices, design patterns and anti-patterns
  • Experience with Jenkins job creation and execution
  • Scrum / Agile methodology working group experience.
  • Software testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
  • Proven analytical skills, root-cause analysis skills, problem-solving skills, decision-making skills.
  • Excellent written and verbal communication skills; mastery in English and local language.
  • Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.

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