{"id":2968807,"url":"https://alion.io/job/fertrac-analista-de-datos-aws-dominio-python","title":"Analista de datos AWS - Dominio Python","company":{"id":4455381,"name":"Fertrac","domain":"fertrac.com","url":"https://alion.io/company/fertrac","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bogotá, Colombia"],"countries":["CO"],"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 CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Boto3","optional":false},{"name":"CAPA","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-20T22:12:00Z","employer_posted_date":null,"last_verified_at":"2026-10-20T22:12:00Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Analista de Datos AWS \nEn FERTRAC, buscamos un Analista de Datos con experiencia práctica en AWS para diseñar, construir y operar nuestra plataforma de datos, integrando información del ERP, Excel, APIs y bases de datos para facilitar la automatización, la analítica avanzada y futuras soluciones de Inteligencia Artificial.\n¿Cuáles serán tus retos?\nDiseñar y mantener pipelines de ingesta y transformación de datos (ETL/ELT).\nIntegrar y organizar datos por capas (Raw, Staging y Analytics), garantizando su calidad y confiabilidad.\nDesarrollar procesos con Python y SQL.\nAdministrar, orquestar y monitorear procesos en AWS.\nImplementar controles de seguridad, manejo de errores y optimización de costos.\nAutomatizar procesos y preparar datos para las diferentes áreas del negocio.\n¿Qué buscamos?\nExperiencia en soluciones de datos productivas sobre AWS.\nPython con Pandas y Boto3, y SQL avanzado (CTE, funciones de ventana y optimización de consultas).\nExperiencia con Amazon S3, RDS/PostgreSQL, Lambda y/o Glue.\nConocimientos de Step Functions, IAM, CloudWatch y APIs REST.\nManejo de Git, Docker y conocimientos de Terraform o CloudFormation.\nDeseable: certificaciones AWS Data Engineer Associate o Solutions Architect Associate, y experiencia integrando ERP.\nFormación\nProfesional o tecnólogo en Sistemas, Software, Ciencia de Datos o carreras afines. 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