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Open nowPosted 6 hours ago

Mid Data Engineer / Data Modeler

Encora241 open roles

Where
Peru
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Your applicationOpen nowMid Data Engineer / Data ModelerEncora · Peru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Encora's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Encora postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 6 hours ago

Encora median: 6 days open

The posting

Habilidades clave: Data Modeling, Erwin, Data Lake, Lakehouse, Databricks, Oracle, Azure, Python, Spark, Data Warehouse.

Experiencia: Mínimo 3 años de experiencia en modelamiento de datos, ingeniería de datos y diseño de soluciones analíticas para Data Warehouse, Data Lake o Lakehouse.

Ubicación: Perú.

Modalidad: Híbrido (asistencia a oficina 2 a 3 veces por semana).

En Coforge estamos buscando Mid Data Engineer / Data Modeler (#20799-7-2) con el siguiente perfil.

Responsabilidades principales

  • Diseñar y desarrollar modelos de datos para soluciones analíticas y plataformas empresariales.
  • Elaborar modelos dimensionales, analíticos y tabulares utilizando Erwin.
  • Diseñar estructuras de datos para arquitecturas basadas en Data Lake y Lakehouse.
  • Participar en el diseño y evolución de modelos en diferentes capas de Big Data.
  • Construir y documentar modelos tácticos orientados al flujo de información hacia plataformas analíticas.
  • Manipular, transformar y validar datos provenientes de múltiples fuentes.
  • Participar activamente en ceremonias Scrum y procesos de trabajo ágiles.
  • Gestionar tareas y seguimiento de actividades a través de Jira y tableros Kanban.
  • Colaborar con equipos de arquitectura, ingeniería y negocio para asegurar la calidad y consistencia de los modelos implementados.
  • Promover buenas prácticas de gobierno, calidad y modelamiento de datos.

Requisitos indispensables

  • Mínimo 3 años de experiencia en modelamiento de datos.
  • Experiencia en modelamiento dimensional.
  • Experiencia en modelamiento analítico.
  • Experiencia en diseño de modelos tabulares.
  • Experiencia utilizando Erwin.
  • Experiencia diseñando soluciones para Data Warehouse.
  • Experiencia trabajando con Data Lake.
  • Experiencia trabajando con Lakehouse.
  • Experiencia modelando estructuras de datos para arquitecturas Big Data.
  • Experiencia manipulando información en Oracle.
  • Experiencia trabajando con Databricks.
  • Experiencia utilizando Azure.
  • Experiencia utilizando Impala.
  • Experiencia utilizando Hive.
  • Conocimiento de Python.
  • Experiencia participando en proyectos de ingeniería de datos y analítica avanzada.
  • Experiencia trabajando bajo metodologías ágiles.
  • Experiencia utilizando Jira.
  • Conocimiento de Scrum y Kanban.

Conocimientos técnicos

  • Python.
  • SSIS.
  • SSAS.
  • SSRS.
  • Erwin.
  • Power Automate.
  • Azure.
  • AWS.
  • Google Cloud Platform (GCP).
  • Data Warehouse.
  • Data Lake.
  • Lakehouse.
  • HDFS.
  • Hive.
  • Apache Spark.

Bases de datos

  • Oracle.
  • SQL Server.
  • MySQL.
  • MongoDB.
  • Cosmos DB.

Plataformas y herramientas

  • Linux.
  • Windows.
  • Android.
  • Power BI.
  • Jira.

Requisitos deseables

  • Experiencia en arquitecturas modernas de datos y analítica.
  • Experiencia en entornos financieros.
  • Conocimiento de gobierno de datos y calidad de información.
  • Certificaciones relacionadas con Azure, AWS o Databricks.
  • Experiencia en proyectos de transformación digital basados en datos.

Competencias

  • Pensamiento analítico.
  • Capacidad de modelamiento y abstracción.
  • Resolución de problemas.
  • Comunicación efectiva.
  • Trabajo colaborativo.
  • Orientación a resultados.
  • Organización y atención al detalle.
  • Proactividad.
  • Aprendizaje continuo.

Publicado el: 07-10-2026.

En Coforge, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.

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