Somos una empresa líder de gestión de capital humano y servicios tecnológicos con más de 15 años en el mercado nacional y centro américa, ofreciendo un valor agregado y solución a los procesos de consultoría de ti, atracción de talento, pruebas de software y centro de desarrollo.teniendo siempre la satisfacción de nuestros clientes y el desempeño profesional de nuestros colaboradores.en *getecsa *estamos comprometidos a brindar la mejor experiência, a seguir innovando y dirigirnos con honestidad, respeto y compromiso.¡la oportunidad de crecer esta en tu manos.. únete a nuestro equipo de trabajo!.*data qa*education: b.e. Computer science/it degree (or any other engineering discipline)experience: 3+ years*position requirements*:- experience with data qa and etl/elt (data pipelines) qa- proficient in sql (analytical functions, trending, windowing) - traditional (for e.g., mssql, oracle, postgresql) or columnar (like vertica, amazon redshift)- experience working closely with teams outside of it (i.e., business intelligence, marketing, adops, sales)- strong understanding of the web analytics, metrics, kpis and reporting- experience with automating regression tests, reporting platforms (for e.g. Tableau or pentaho bi) and etl tools (for eg. Pentaho or talend) will be an added advantage*role & responsibilities*:- performing statistical tests on large datasets to determine data quality and integrity.- evaluating system performance and design, as well as its effect on data quality.- collaborating with database developers to improve data collection and storage processes.- running data queries to identify coding issues and data exceptions, as well as cleaning data.- gathering data from primary or secondary data sources to identify and interpret trends.- reporting data analysis findings to management to inform business decisions and prioritize information system needs.- documenting processes and maintaining data records.- adhering to best practices in data analysis and collection.- keeping abreast of developments and trends in data quality analysis.