{"id":3132755,"url":"https://alion.io/job/ibr-data-engineer-junior-ingenieroa-de-datos-junior-hibrido-surcoplanilla","title":"Data Engineer Junior / Ingeniero(a) de Datos Junior Hibrido - Surco/Planilla","company":{"id":4463166,"name":"IBR","domain":null,"url":"https://alion.io/company/ibr-2","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":"hybrid","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":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T11:39:57Z","employer_posted_date":null,"last_verified_at":"2026-10-15T11:39:57Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Por encargo de nuestro cliente, una empresa líder en el sector educativo en el Perú, nos encontramos en la búsqueda de un/a Data Engineer Junior\n\n- Planilla/Hibrido\n\n- Surco para integrarse a su equipo de Tecnología.\n\nRequisitos: Bachiller o Egresado en Ingeniería de Computación y Sistemas, Ingeniería de Sistemas de Información, Ingeniería de Sistemas, Ingeniería de Software, Ciencias de la Computación o carreras afines. Experiencia mínima de 2 años en roles de Data Engineering, integración de datos o Business Intelligence. Experiencia desarrollando y manteniendo pipelines ETL/ELT en entornos productivos. Dominio de SQL avanzado (SQL Server, PostgreSQL, MySQL o Redshift) y Python orientado a datos. Conocimientos y experiencia en servicios AWS como S3, Glue, DMS, Athena, Redshift e IAM. Manejo de herramientas de control de versiones y despliegue como Git, Jenkins y Docker. Experiencia en construcción de dashboards y análisis de información con Power BI (nivel intermedio). Nivel de Inglés\n\n- Intermedio ( Lectura técnica). Disponibilidad para laborar por proyecto.\n\nFunciones: Diseñar y desarrollar procesos ETL/ELT sobre AWS (Glue Jobs, PySpark, DMS), cumpliendo las fechas establecidas en el plan de trabajo del área. Ingestar fuentes de datos heterogéneas (bases de datos, APIs, archivos) hacia el Datalake corporativo mediante AWS DMS, Python y servicios de integración. Dar soporte y mantenimiento al Datalake en AWS (S3, Glue, Lake Formation), incluyendo el monitoreo de permisos en Lake Formation / IAM. Asegurar que el procesamiento diario de la data se ejecute correctamente en el Datalake, resolviendo los incidentes de datos en AWS y garantizando la continuidad de las cargas de ingesta y analítica. Ejecutar tuning y optimización de los procesos de integración de datos, incluyendo la reingeniería de flujos legacy. Administrar eficientemente los recursos de los servicios de nube AWS, contribuyendo al control y la optimización de costos. Orquestar flujos de datos y desplegar stacks de infraestructura como código, manteniendo los pipelines de CI/CD (Jenkins, Git). Construir dashboards y reportes en Power BI que soporten la toma de decisiones de las áreas usuarias, asegurando su correcta ejecución y la actualización programada de los datos. Participar en el levantamiento de requerimientos e incidentes con las áreas de negocio y coordinar con los proveedores de servicios (AWS, Power BI). Documentar procesos, scripts y componentes de la arquitectura de datos, aplicando los estándares de calidad y gobierno de datos definidos por el área.\n\nBeneficios: Modalidad: Hibrido 2 días presencial en Surco y 3 días Remoto. Salario acorde al mercado. Planilla. 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