{"id":3132799,"url":"https://alion.io/job/kaits-consulting-data-engineer-azure-y-databricks","title":"DATA ENGINEER | Azure y Databricks","company":{"id":4463195,"name":"Kaits Consulting","domain":null,"url":"https://alion.io/company/kaits-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T15:16:27Z","employer_posted_date":null,"last_verified_at":"2026-10-01T15:16:27Z","board_verified":false,"closed_at":null,"days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"EN KAITS CONSULTING ESTAMOS BUSCANDO PROFESIONALES DE DATOS ESPECIALIZADOS EN LA CREACIÓN DE SOLUCIONES EMPRESARIALES UTILIZANDO EL STACK DE TECNOLOGÍAS DE DATA INTEGRATION, BUSINESS INTELLIGENCE MICROSOFT AZURE Y DATABRICKS con ganas de seguir aprendiendo y, sobre todo, apasionado con cumplir la misión de ayudar a personas y empresas a lograr resultados asombrosos a partir del uso de los datos. RESPONSABILIDADES: Capturar y analizar requerimientos. Diseñar la solución a implementar. Implementar y desplegar la solución end to end. Asegurar la calidad, trazabilidad y monitoreo de las cargas. Documentar la solución implementada.\n\nREQUISITOS: Experiencia de 4 a 7 años diseñando e implementado: Data lakehouses con tecnologías Microsoft en entornos de nube Azure Databricks Modelos de datos dimensionales con esquema estrella y copo de nieve, aplicando técnicas SCD (Slowly Changing Dimensions). Sólidos conocimientos en T-SQL y Pyspark Experiencia en queries complejos, CTEs, joins y funciones de ventana. Optimización de Jobs/notebooks. Tener conocimientos de CI/CD Manejo de herramientas de IA para desarrollar código (Claude Code, Chat GTP, Gemini, etc).\n\nDeseable: Conocimiento y práctica de Microsoft Fabric para elaborar modelos semánticos, mediante conexión Direct lake. Azure DevopsBENEFICIOS: Participación en proyectos de alto impacto con tecnologías modernas. Cultura de aprendizaje continuo y colaboración. 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