{"id":759551,"url":"https://alion.io/job/knowmad-mood-data-engineer-snowflake-specialist","title":"Data Engineer (Snowflake Specialist)","company":{"id":53695,"name":"Knowmad Mood","domain":"knowmadmood.com","url":"https://alion.io/company/knowmad-mood","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":80,"open_postings":50,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-09T08:56:35Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-11T20:21:53Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"We are knowmad mood!\nSomos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Nacimos para provocar un cambio real a través de la innovación y el desarrollo sostenible, con la misión de aportar valor a los clientes e impulsar nuestro talento.\nFormado por más de 3.000 personas creativas, digitales e innovadoras conectadas a un propósito y capaces de generar conexiones con personas de todo el mundo. Un equipo responsable, flexible y con alta capacidad de adaptación a las necesidades de nuestros clientes y del mercado, a la vez que proporciona valor, visión, creatividad, expertise, profesionalidad y pasión por la tecnología en cada proyecto.\nLos valores que marcan nuestro rumbo y nos guían hacia la excelencia son la colaboración, la innovación, el compromiso, la diversión y la confianza.\nEn esta ocasión buscamos un Data Engineer, especialista en Snowflake en Latino America.\nResponsabilidades\nDiseñar, desarrollar y mantener pipelines de datos eficientes, robustos y escalables.\n\nImplementar procesos de ingesta, transformación y validación de datos mediante PySpark.\n\nOrquestar flujos de trabajo complejos utilizando Airflow u otras herramientas de orquestación similares.\n\nDiseñar y evolucionar modelos de datos orientados a analítica, incluyendo arquitecturas basadas en el enfoque Medallion.\n\nGestionar y optimizar consultas SQL avanzadas en entornos Snowflake.\n\nParticipar en el análisis de requerimientos junto a las áreas de negocio para traducir necesidades funcionales en soluciones de datos.\n\nDiseñar estructuras de configuración y procesos asociados a la integración y transformación de datos procedentes de distintos sistemas fuente.\n\nGarantizar la calidad, consistencia, trazabilidad y disponibilidad de los datos a lo largo de todo su ciclo de vida.\n\nColaborar con equipos multidisciplinares para asegurar que los datasets y modelos cumplen los requisitos funcionales y técnicos.\n\nRequisitos\nExperiencia avanzada en Snowflake, incluyendo diseño, optimización y gestión de datos dentro de su arquitectura.\n\nDominio de SQL avanzado y capacidad para desarrollar y optimizar consultas complejas sobre múltiples tablas y estructuras de datos.\n\nExperiencia en modelado de datos para entornos analíticos.\n\nConocimiento de procesos de homologación y estandarización de datos procedentes de diferentes fuentes.\n\nExperiencia trabajando con PySpark para procesos de transformación de datos.\n\nConocimientos en orquestación de procesos mediante Airflow.\n\nComprensión de arquitecturas de sistemas fuente y diseño de configuraciones para procesos de ingesta y transformación de datos.\n\nY con nosotros podrás disfrutar de:\nContrato Indefinido\n100% REMOTO\nFormación interna y acceso a certificaciones Consulta nuestro calendario aquí:\nhttps://www.knowmadmood.com/es/talento/formacion\nEmbajador de nuestra marca, a través de nuestro plan amigo\n¡Recomienda a tus amigos y llévate un extra!\n¡Eventos, meetups, techdays, charlas...y mucho más!\nPara estar al corriente de nuestras novedades síguenos aquí -> knowmad mood\nEn knowmad mood nos comprometemos con la igualdad de oportunidades y el respeto a la diversidad. Aplicamos nuestro Plan de Igualdad y el principio de no discriminación en todos nuestros procesos de selección.","description_format":"text","description_chars":3283,"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":[{"language":"Spanish","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Colombia","iso":null,"kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":null,"kind":"region"},{"name":"Antigua and 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