{"id":3129367,"url":"https://alion.io/job/indra-group-data-engineer-sr-aws-databricks","title":"Data Engineer Sr AWS Databricks","company":{"id":52757,"name":"Indra Group","domain":"indragroup.com","url":"https://alion.io/company/indra-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","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":{"min_usd":16500,"max_usd":44000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-19T02:48:00Z","employer_posted_date":null,"last_verified_at":"2026-10-19T02:48:00Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"¡Un lugar para ti!\nINDRA es una de las principales compañías globales de tecnología y consultoría y el socio tecnológico para las operaciones clave de los negocios de sus clientes en todo el mundo. Es un proveedor líder mundial de soluciones propias en segmentos específicos de los mercados de Transporte y Defensa, y la empresa líder en consultoría de transformación digital y Tecnologías de la Información en España y Latinoamérica. Con cerca de 48.000 empleados, presencia local en 46 países y operaciones comerciales en más de 140 países.\nEstamos en búsqueda de un Data Engineer AWS.\n\nFunciones del puesto:\nDesarrollo de procesos de extracción desde el sistema origen.\nDesarrollo de transformaciones según las reglas de mapping.\nDesarrollo de procesos de carga al sistema destino.\nManejo de grandes volúmenes de información.\nDesarrollo de cargas iniciales, incrementales y reprocesos.\nImplementación de controles técnicos y manejo de errores y excepciones.\nOptimización de performance.\nAutomatización de procesos de migración.\nGeneración de logs y trazabilidad.\nCONOCIMIENTOS ASOCIADOS O REQUISITOS\nExperiencia mínima de 4 años en data engineering.\nAWS: experiencia comprobable en servicios de datos y cómputo de AWS (Glue, EMR, S3, Redshift, Athena, Lambda, IAM).\nExperiencia avanzada con Databricks.\nPySpark & Python: dominio de Python orientado a ingeniería de datos y procesamiento distribuido de Big Data con PySpark.\nETL / ELT: amplia trayectoria diseñando pipelines de extracción, transformación y carga de gran volumen.\nAirflow: experiencia configurando, programando y optimizando DAGs en Apache Airflow.\nFormatos de archivo: dominio en el manejo, lectura, optimización y conversión de formatos de datos masivos (Avro, Parquet, CSV, JSON, texto/posicionales).\nBeneficios:\nOportunidad de aprendizaje y crecimiento profesional.\nEntorno de trabajo colaborativo y de apoyo.\nEPS 100% para el colaborador.\nAcceso a la plataforma Udemy 100% gratuita.\nAsesorías virtuales con psicólogos y nutricionista para el colaborador y familiar directo.\nConvenios corporativos y educativos.\nPlanilla al 100% (Vacaciones, CTS, Gratificación, etc.)\n\nMinsait, technology for a more human future.\n Requerimientos Educación mínima: Técnico\n años de 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