{"id":3815978,"url":"https://alion.io/job/bc-tecnologia-data-engineer-gcp-plataforma-de-datos","title":"Data Engineer GCP – Plataforma de Datos","company":{"id":3852491,"name":"BC Tecnología","domain":"bctecnologia.com","url":"https://alion.io/company/bc-tecnologia","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chile"],"countries":["CL"],"hiring_countries":["CL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"DuckDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"IAM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T13:30:45Z","employer_posted_date":null,"last_verified_at":"2026-11-05T13:30:45Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Requisitos obligatorios\nExperiencia sólida en Python, incluyendo desarrollo de código con pruebas automatizadas.\nDominio de SQL avanzado: CTE, Window Functions y agregaciones complejas.\nExperiencia en modelado dimensional: tablas de hechos, dimensiones, granularidad e idempotencia.\nExperiencia en procesos ETL/ELT, cargas incrementales, deduplicación y tratamiento de correcciones retroactivas.\nExperiencia productiva con orquestadores como Dagster, Airflow, Prefect o similares.\nConocimientos en integración de bases de datos relacionales y sus drivers.\nExperiencia desarrollando APIs e implementando mecanismos de autenticación, autorización y RBAC.\nManejo de Git, Pull Requests, CI y Docker.\n“Esta oferta laboral se rige bajo la Ley N.º 21.015, que incentiva la inclusión de personas con discapacidad al mundo laboral. Si requieres apoyo o alguna adaptación para realizar tu postulación, contáctanos al correo indicado en esta publicación”.\nFunciones principales\nDiseñar, desarrollar y mantener pipelines de ingesta y transformación de datos bajo arquitectura Medallion (Bronze, Silver y Gold).\nIntegrar nuevas fuentes de datos mediante cargas completas e incrementales.\nImplementar procesos de deduplicación, validación y manejo de correcciones históricas.\nParticipar en la evolución y migración del Lakehouse hacia Google Cloud Storage, BigQuery y Cloud Run.\nDesarrollar y mantener APIs de consulta e integración de datos.\nConstruir herramientas y servicios de acceso a datos para agentes de IA (AI Harness).\nImplementar mecanismos de autenticación, autorización y control de acceso RBAC.\nGarantizar la calidad, trazabilidad y actualización de la información.\nMonitorear pipelines, diagnosticar incidentes y asegurar la continuidad operacional.\nColaborar con equipos de desarrollo, Data Science y áreas de negocio.\nConocimientos deseables\nGoogle Cloud Platform: Cloud Storage, BigQuery, Cloud Run e IAM.\nDuckDB, Parquet y arquitecturas Data Lakehouse.\nIntegraciones con SAP, Oracle, SQL Server y MongoDB.\nExperiencia con MCP (Model Context Protocol), Function Calling o herramientas de IA.\nConocimientos de FinOps y optimización de costos Cloud.\nExperiencia en retail o plataformas de datos transaccionales.\nCondiciones laborales\nModalidad: Híbrida (lunes a jueves presencial y viernes remoto, con flexibilidad ante eventos).","description_format":"text","description_chars":2331,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Chile","iso":"CL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","IT Staffing & Staff 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