{"id":1274933,"url":"https://alion.io/job/multiplica-analista-qa-data","title":"Analista QA Data","company":{"id":8001,"name":"Multiplica","domain":"multiplica.com","url":"https://alion.io/company/multiplica","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":89,"open_postings":7,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-20T05:45:00Z"}},"role":"QA","role_family":"QA","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lima, Peru"],"countries":["PE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-20T08:37:48Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Por encargo de nuestro cliente líder del sector financiero, nos encontramos de la búsqueda de un Analista de Data QA, quien pertenecerá al equipo de Tecnología.\n Misión:\nGarantizar la integridad, confiabilidad y completitud de los activos de datos, mediante el diseño e implementación de marcos robustos de calidad de datos (Data QA) que soporten la toma de decisiones estratégicas y la gestión de riesgos y el cumplimiento regulatorio\n Principales funcionalidades:\nRealizar conciliaciones entre sistemas fuente, procesos ETL, bases de datos y portales.\nRealizar revisiones técnicas de diseño, código y pruebas para asegurar la calidad y consistencia de las soluciones.\nColaborar de forma proactiva con analistas, ingenieros y científicos de datos para garantizar soluciones de alto impacto y calidad.\nDocumentar las reglas de negocio, definiciones de datos y criterios de aceptación en colaboración con áreas de negocio, riesgo y cumplimiento.\nRealizar perfilado y análisis exploratorio de fuentes de datos nuevas (due diligencede calidad) antes de su incorporación a los sistemas productivos\nApoyar auditorías internas y externas proporcionando evidencia de controles de calidad y linaje de datos\nRequirements\n Requisitos del puesto:\nProfesionales en Ingeniería Informática, de Sistemas, Computación o afines.\nCursos o diplomado en Datos y Analytics en general. (Deseable)\nConocimiento de Scrum Master o Prácticas Ágiles. (Deseable)\nMínimo 2 años validando calidad de datos, migraciones o procesos ETL.\nExperiencia mínima de 3 años en:\nComo QA, Data QA o Data Analytics.\nExperiencia en SQL avanzado.\nExperiencia interactuando con equipos de negocio y tecnología.\nConocimiento en Azure Databricks y Azure Data Factory.\nManejo de validación de flujos de integración, limpieza y procesamiento de datos.\nExperiencia en modelamiento para Data Warehouse o data Lake (Kimball, Star Schema o 3FN)\nExperiencia en versionamiento y despliegue de componentes (Github).\nConocimiento en procesamiento de datos con Databricks\nFamiliaridad con lenguajes de programación como Python, Java, Scala o similares.\nParticipación en proyectos aplicando prácticas ágiles. 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