{"id":3619170,"url":"https://alion.io/job/ready-data-engineer-chile","title":"Data Engineer Chile","company":{"id":173864,"name":"Ready","domain":"ready.net","url":"https://alion.io/company/ready-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","BQ","KY","CL","CR","CU","DM","DO","EC","SV","FK","GE","GD","GT","GY","HT","HN","JM","MS","NI","PA","PY","PE","PR","KN","LC","VC","SR","TT"],"hiring_countries_total":43,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Kanban","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-01T12:05:06Z","employer_posted_date":null,"last_verified_at":"2026-11-01T12:05:06Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Buscamos un Data Engineer con sólida experiencia en desarrollo de infraestructuras de datos en la nube para integrarse a proyectos de alto impacto en un entorno 100% remoto. El rol combina diseño, desarrollo e implementación de pipelines de datos utilizando el ecosistema de AWS, con foco en ingesta, procesamiento en tiempo real y arquitectura de datalake. Si disfrutas resolver problemas complejos de datos y trabajar en equipos ágiles y multidisciplinarios, este desafío es para ti.\nResponsabilidades\nDiseñar, desarrollar, implementar y mantener infraestructuras de datos escalables y confiables orientadas a entornos cloud.\n\nGestionar y optimizar los procesos de ingesta de datos hacia el datalake, garantizando la calidad, integridad y disponibilidad de la información.\n\nDesarrollar pipelines de procesamiento de datos en tiempo real utilizando servicios como AWS Kinesis y AWS Lambda.\n\nConstruir y administrar flujos de trabajo de orquestación de datos mediante AWS Step Functions y AWS Glue.\n\nDiseñar y mantener soluciones de almacenamiento y consulta de datos con AWS Redshift y AWS Athena, asegurando rendimiento y eficiencia en las consultas.\n\nColaborar con equipos de Analytics, Data Science e Ingeniería para traducir necesidades de negocio en soluciones de datos robustas y bien documentadas.\n\nParticipar activamente en ceremonias y procesos de equipos bajo metodologías ágiles, contribuyendo a la mejora continua de los flujos de trabajo del área.\n\nRequirements\n3 años de experiencia en ingeniería de datos, con participación en proyectos de diseño e implementación de infraestructuras de datos en entornos productivos.\n\nDominio de Python para el desarrollo de scripts, transformaciones de datos y automatización de procesos, incluyendo el uso de librerías especializadas (Pandas, PySpark, entre otras).\n\nExperiencia práctica con servicios de AWS orientados a datos: AWS Glue, AWS Step Functions, AWS Kinesis, AWS Lambda, AWS Athena y AWS Redshift.\n\nConocimiento sólido en estrategias de ingesta de datos en la nube (batch y streaming) y arquitecturas de datalake o data lakehouse.\n\nFamiliaridad con metodologías ágiles (Scrum o Kanban) aplicadas al desarrollo de proyectos de datos.\n\nCapacidad para documentar soluciones técnicas, definir estándares de calidad de datos y trabajar en entornos de trabajo colaborativos y remotos.\n\nDisponibilidad para proyecto de al menos 4 meses.\n\nUbicación: Chile\n\nInglés: No requerido.\n\nHighlights🌎 Proyecto remoto para candidatos ubicados en cualquier país de LATAM.\nOriginally posted on Himalayas","description_format":"text","description_chars":2548,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"},{"name":"Brazil","iso":"BR","kind":"country"},{"name":"Colombia","iso":"CO","kind":"country"},{"name":"Mexico","iso":"MX","kind":"country"},{"name":"Anguilla","iso":"AI","kind":"country"},{"name":"Antigua and 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