• Qrvey

  • EDWIN ALBERTO SIERRA AROCA
EA

EDWIN ALBERTO SIERRA AROCA

Senior QA level III at Qrvey

Edwin Alberto Sierra Aroca has worked in the software testing industry since 2013. EDWIN ALBERTO began their career at SQA S.A. as an Analista de Pruebas, where they were responsible for analyzing, reviewing, and evaluating user requirements, specifications, and models for testability. EDWIN ALBERTO then moved to Quality Vision Technologies - Q-VISION as an ANALISTAS DE CALIDAD, where they were responsible for estimating times for different types of tests and identifying risks. In 2015, they joined SONDA as an Analista de Calidad, where they were responsible for performing functional tests on COLSANTIAS applications, analyzing requirements, estimating times, and defining test cases. In 2016, they joined Unisys as a Sr Aplication Test Engineer, and currently works at Qrvey as a Senior QA Level III.

Edwin Alberto Sierra Aroca has a comprehensive education history. From 2016 to 2017, they attended Escuela de Comunicaciones Militares- ESCOM and obtained a degree in Especialista en gerencia integral de las comunicaciones, specializing in Comunicaciones. From 2004 to 2011, they attended Universidad del Magdalena and obtained a degree in ingeniero de sistemas, specializing in especialista. EDWIN ALBERTO also has several certifications, including a Scrum Foundations Professional Certificate (SFPC) from CertiProf obtained in April 2018, a Scrum Master Professional Certificate from CertiProf obtained in April 2018, a Scrum Fundamentals Certified from Vmedu Targeting successs obtained in March 2018, a Big Data, Cloud Computing, & CDN Emerging Technologies Coursera Course Certificate obtained in October 2016, and an ISTQB Certifer Tester from ISTQB - International Software Testing Qualifications Board obtained in February 2013.

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Qrvey

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Qrvey includes tools for data collection, transformation, analysis, visualization, automation and machine learning. It is the logical choice for companies in the AWS ecosystem who need embedded and distributed analytics for enterprise-scale use cases.


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51-200

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