{"id":3132937,"url":"https://alion.io/job/integra-retail-data-engineer-sql-avanzado-etl-cloud","title":"Data Engineer | SQL Avanzado / ETL / Cloud","company":{"id":4463264,"name":"Integra Retail","domain":"integraretail.pe","url":"https://alion.io/company/integra-retail","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":"junior","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":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-09-08T23:16:19Z","employer_posted_date":null,"last_verified_at":"2026-09-08T23:16:19Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"Somos GRUPO CARSA, un grupo especializado en la venta de electrodomésticos y motos, con más de 120 tiendas a nivel nacional y marcas como Carsa, El Gallo Más Gallo, Moto Go y Marcimex. Nos encontramos en la búsqueda de un(a) Data Engineer.\n\nDescripción del puestoBuscamos un(a) profesional que sea responsable de diseñar, construir y mantener la infraestructura de datos de la organización, asegurando la disponibilidad, calidad e integridad de la información que alimenta nuestros reportes, dashboards y modelos analíticos.\n\n¿Qué estamos buscando? Bachiller o Titulado(a) en Ingeniería de Sistemas, Ingeniería Informática, Computación o carreras afines. Experiencia de 2 a 4 años en posiciones como Data Engineer, ETL Developer o similares. Experiencia en diseño y desarrollo de pipelines de datos ETL/ELT. Manejo de SQL a nivel avanzado (obligatorio). Conocimientos de Python o Scala para procesamiento de datos. Experiencia con herramientas ETL como Airflow, Talend, SSIS, dbt u otras similares. Conocimiento de plataformas Cloud, como AWS, Azure o GCP. Experiencia trabajando con bases de datos relacionales y/o no relacionales. Conocimiento de modelado de datos, dimensional y normalización. Deseable experiencia en retail o consumo masivo. Deseable conocimiento de Spark, Kafka, Docker o Kubernetes. Pensamiento analítico, resolución de problemas, atención al detalle y orientación a resultados. Comunicación efectiva y capacidad para trabajar con equipos técnicos y de negocio.\n\n¿Cuáles serán tus responsabilidades? Diseñar y desarrollar pipelines de datos ETL/ELT para integrar información proveniente de múltiples fuentes como POS, ERP, e-commerce y CRM. Construir y optimizar bases de datos, data warehouses y/o data lakes. Garantizar la calidad, consistencia, disponibilidad y seguridad de los datos. Automatizar procesos de extracción, transformación y carga de información. Trabajar en conjunto con los equipos de BI, Analytics y negocio para comprender y atender los requerimientos de datos. Monitorear el rendimiento de los pipelines y resolver incidencias relacionadas con los procesos de datos. Documentar arquitecturas, procesos y flujos de información. Implementar buenas prácticas relacionadas con gobierno y gestión de datos. Identificar oportunidades de mejora y optimización en la infraestructura y procesos de datos.\n\nBeneficios Ingreso a planilla completa desde el primer día. EPS cubierta al 70%. Todos los beneficios de ley. Capacitaciones constantes. Oportunidad de desarrollo y crecimiento profesional. Participación en proyectos tecnológicos y de transformación digital. Pertenecer a una empresa líder del sector retail.\n\n📍 Lugar de trabajo: Surco – Av. 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