Senior QA Automation Engineer

Quality Assurance Engineering Cupertino, California


Description

We are looking for a Senior Big Data QA Automation Engineer to build out automation tools and frameworks for Big Data Predictive Analytics platform applications and pipelines.

Ideal candidate is able to start the project independently and transition into a team lead for future members.

Responsibilities:

  • Analyze business and technical requirements
  • Guide production team in testing patterns and setup
  • Develop end to end automated tests
  • Produce timelines and scope work
  • Analyze test area, collect test data requirements, and document end to end test scenarios
  • Execute tests, analyze results and report status to the team
Requirements:
  • Strong programming knowledge in Java
  • Strong automation background, experience with TestNG
  • Excellent interpersonal and communication skills
  • Strong analytical skills
  • Understanding of Hadoop, AWS, Kafka, Hive
  • Working SQL knowledge
Will be a plus:
  • Working Spark SQL knowledge
  • Experience with Agile methodologies
  • Experience with Predictive Analytics
  • Understanding of C*
  • Several years of practical experience in building test automation framework
We offer:
  • Opportunity to work on bleeding-edge projects
  • Work with industry experts
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Medical insurance
  • Benefits program
  • Social package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
About us:

Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.