QA Lead (Distributed Systems + QA)

Job Overview

5 - 8 Years
BS/MCA degree in Computer Science, Engineering

LatentView Analytics is one of the world’s largest and fastest growing digitalanalytics firms. We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. We are looking to hire a QA to join our data services team. 


  • Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
  • Create detailed, comprehensive, and well-structured test plans and test cases
  • Test Suite Design & Automation of data quality testing
  • Integrate alerting to notify stake holders on data & process issues
  • Document & review process SLAs, design & workflow dependencies
  • Estimate, prioritize, plan and coordinate testing activities
  • Identify, record, document thoroughly and track bugs
  • Perform thorough regression testing when bugs are resolved
  • Develop and apply testing processes for new and existing products to meet client needs
  • Liaise with internal teams (e.g. developers and product managers) to identify system requirements
  • Monitor debugging process results
  • Investigate the causes of non-conforming software and train users to implement solutions
  • Track quality assurance metrics, like defect densities and open defect counts
  • Stay up to date with new testing tools and test strategies


  • Proven work experience in development
  • 5 to 8 years of total experience working on data intensive project on distributed systems
  • Proven work experience in quality assurance
  • Strong knowledge of QA methodologies, tools, and processes
  • Experience in writing clear, concise, and comprehensive test plans and test cases
  • Hands-on experience with both white box and black box testing
  • Hands-on experience with automated testing tools
  • Solid knowledge of SQL, hive, spark, python, and shell scripting
  • Experience working in an Agile/Scrum development process
  • Excellent communication skills
  • BS/MCA degree in Computer Science, Engineering, or a related subject