QA Automation Engineer - Data Group

R&D, Tel Aviv

Description

Lusha is growing and we are searching for an experienced QA Automation Engineer to be part of our Data group. If you are a highly skilled QA engineer experienced in solving complex data challenges, with a proven track record in defining and implementing in production Data QA processes and tools and monitoring and analyse issues in our real time data collection in production - continue reading :)

What will you be doing?

As a Data QA Engineer, you will lead quality assurance activities in a team within our Data group, and work closely with our Data Engineers and Backend developers in order to scale up the team data and services quality.

 You will:

  • Test strategy, design test plans, and execute complex automated tests to assure high quality of our big data and business technologies platforms.
  • Test end to end data flows and data enrichment processes.
  • Report bugs and errors to development teams.
  • Implement automatic tests using various technologies like pytests, Lettuce and more. 

You are:

  • Autodidact, likes a challenge, motivated
  • Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment and are able to operate at the strategic level and the micro-detail to get things right
  • Independent. You pick things up quickly and are able to execute independently from ideation to implementation
  • Results-driven. You have a can-do approach, drive to exceed your goals 
  • Data-oriented. You like analyzing and working with data
  • Organized. You are able to manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts
  • A team player. You will collaborate across the data team and with other teams as well

Requirements:

  • 3+ years of experience as a QA automation engineer.
  • Experienced with Python.
  • Experience with automation in the data field.
  • Experience in big data environments and technologies.
  • Experience with SQL and databases (relational databases).
  • Knowledge of CI/CD concepts, specifically how to implement testing automation within CI/CD pipelines - advantage

 

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