Semi Senior Data Engineer

Hace 4 semanas
, ARE, Perú Tekton Labs Jornada completa
En Tekton Labs , empresa líder en servicios de outsourcing y consultoría en tecnologías de la información con más de 20 años de trayectoria y sedes en Perú, México y Estados Unidos, estamos en búsqueda de un Data Engineer Semi-Senior para integrarse al equipo de un destacado cliente chileno, líder regional en el sector retail. Objetivo del puesto Diseñar, construir y mantener soluciones de ingeniería de datos (integración, procesamiento y transformación de grandes volúmenes de información), asegurando calidad, disponibilidad y eficiencia para el análisis y toma de decisiones del negocio. Offer: Contractor: USD 2200.00 Timezone: (UTC-05:00) Lima, Peru
- Peru Time (PET) English Level: A2
- Elementary Spanish Level: C2
- Native

Responsibilities:
 Funciones y responsabilidades
- Desarrollar y mantener procesos ETL/ELT y pipelines de datos end-to-end (batch o streaming).
- Diseñar y optimizar modelos, estructuras de almacenamiento de datos y flujos con Airflow.
- Desarrollar soluciones utilizando Python, PySpark, Scala, SQL y dbt.
- Gestionar e integrar servicios cloud en AWS (S3, Glue, Redshift, EMR, Lambda, Athena).
- Integrar y consumir APIs REST/RESTful y GraphQL para la ingesta o entrega de datos.
- Garantizar la calidad, integridad y disponibilidad mediante pruebas unitarias, validación de esquemas y monitoreo.
- Aplicar buenas prácticas de desarrollo (clean code), control de versiones con Git (CI/CD) y metodologías ágiles. Must have: Requisitos del perfil
- Formación: Bachiller o Titulado en Ingeniería de Sistemas, Informática, Estadística o carreras afines.
-

Experiencia:
Entre 3 a 5 años en roles de Ingeniería de Datos.
- Lenguajes: Dominio de Python, PySpark, Scala y SQL avanzado (queries y funciones relacionales).
- Cloud & BBDD: Experiencia comprobada en AWS y almacenamiento de datos (SQL, NoSQL, Redshift, Snowflake).
- Herramientas: Manejo de Airflow, CI/CD con Git y consumo de APIs (REST/GraphQL). Nice to have: Deseables
- Experiencia de trabajo previa en el rubro Retail.
- Técnicas de modelación de datos (dimensional, estrella, OBT, copo de nieve, etc.).
- Manejo de arquitecturas de datos (Data Lakes, Data Warehouse, Data Mesh, Lakehouse, Lambda, Kappa).
- Conceptos de Infraestructura como Código (IaC / Terraform, CloudFormation).
- Conocimientos en herramientas de reportería (Power BI).
- Experiencia bajo marcos ágiles (Scrum, Kanban). 💡 Are you interested in this opportunity? Apply by sending your resume and briefly tell us why you want to participate in this project 🚀

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