{"id":3132931,"url":"https://alion.io/job/synopsis-data-engineer-pipelines-etlelt","title":"Data Engineer - pipelines ETL/ELT","company":{"id":4463178,"name":"Synopsis","domain":null,"url":"https://alion.io/company/synopsis-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","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":"ETL/ELT","optional":false}],"status":"live","first_seen_at":"2026-09-09T18:33:39Z","employer_posted_date":null,"last_verified_at":"2026-09-09T18:33:39Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"Horario: Lunes a viernes (9a6pm)Modalidad: presencial 100%Duración: hasta dic 2026 y depende de resultadosIII. MISIÓN DEL PUESTODiseñar, desarrollar y mantener soluciones de ingeniería de datos que permitan integrar, transformar y disponibilizar información confiable, oportuna y escalable para las iniciativas de Business Intelligence y Analítica de la organización.\n\nIV. FUNCIONESDiseñar y mantener pipelines de datos (ETL/ELT): Garantizar el flujo confiable, automatizado y eficiente de los datos desde el origen hasta su destino final. Frecuencia: Diaria. Importancia: Alta.\n\nAutomatizar procesos manuales de datos: Reducir errores operativos, aumentar la eficiencia y liberar recursos para tareas de mayor valor. Frecuencia: Diaria. Importancia: Alta.\n\nDesarrollar y optimizar modelos de datos dimensionales y analíticos: Soportar dashboards, reportes operativos y análisis avanzados para la toma de decisiones. Frecuencia: Diaria. Importancia: Alta.\n\nMonitorear las cargas de datos y el desempeño de los sistemas: Asegurar que la información esté disponible a tiempo y con el rendimiento adecuado para los usuarios. Frecuencia: Diaria. Importancia: Alta.\n\nVelar por la calidad de datos: Implementar controles de calidad, validar integridad y consistencia, detectar anomalías, generar alertas ante errores de carga, registrar y dar seguimiento a problemas de calidad. Frecuencia: Diaria. Importancia: Alta.\n\nDocumentar los procesos, modelos y pipelines implementados: Facilitar el mantenimiento, la auditoría y la transferencia de conocimiento dentro del equipo. Frecuencia: Semanal. Importancia: Media.\n\nResolver incidentes operativos en los sistemas de datos: Asegurar la continuidad operativa y minimizar el impacto en los procesos de negocio. Frecuencia: Diaria. Importancia: Alta.\n\nEjercer gobierno y seguridad de datos: Aplicar estándares de gobierno de datos, implementar controles de acceso, gestionar información sensible de acuerdo con las políticas corporativas y mantener trazabilidad de los procesos de datos. Frecuencia: Diaria. 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