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Open nowFirst seen 3 days ago

Ingeniero de Datos

Centro Financiero Empresarial7 open roles

Where
Panamá, Panamá, Panama
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Your applicationOpen nowIngeniero de DatosCentro Financiero Empresarial · Panamá, Panamá, Panama
  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 Centro Financiero Empresarial's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

Descripción del puesto

En CFE encontrarás un entorno dinámico y colaborativo, donde tendrás la oportunidad de aplicar tus conocimientos en el procesamiento de datos, modelado y visualización para generar insights que impulsen la toma de decisiones estratégicas en la empresa.

Serás parte fundamental en la recolección y estructuración de datos que permitan optimizar nuestros servicios y ofrecer una experiencia de calidad a nuestros clientes.

Requisitos

Formación Académica:

  • Licenciatura en Ingeniería en Sistemas, Industrial o carreras afines.

Experiencia Profesional:

  • 3 años de experiencia relevante en roles como Data Engineer, Desarrollador de Software o Ingeniero de Automatización.

Habilidades Técnicas:

  • Conocimiento avanzado en lenguaje Python,SQL Server y R para enfoque en analítica de datos.
  • Conocimiento avanzado de SQL Server y habilidades en creación y mantenimiento de modelos tabulares relacionales optimizados para consumo analítico.
  • Conocimiento avanzado en Microsoft Excel.
  • Experiencia demostrada en procesos ETL de orquestación desde múltiples fuentes de datos, utilizando herramientas como Azure Data Factory, u otras tecnologías equivalentes.
  • Experiencia con herramientas de desarrollo con PySpark como Databricks, para la creación y el mantenimiento de Jupyter Notebooks.
  • · Experiencia demostrada en procesos ETL de orquestación desde múltiples fuentes de datos, utilizando herramientas como Azure Data Factory, u otras tecnologías equivalentes.

Deseable

  • · Experiencia con herramientas de BI como Power BI, Tableau, Looker, o SQL Reporting Services, incluyendo diseño de dashboards y reportes generados ad-hoc por los usuarios finales.
  • Profundo conocimiento de arquitecturas en Azure (Data Lake, Data Factory, Synapse) y soluciones modernas de data warehousing.
  • Experiencia en ecosistema Microsoft.
  • Deseable: experiencia en Machine Learning, análisis basado en IA y modelos predictivos.

Beneficios

  • Paquete de compensación de acuerdo a la experiencia.
  • Seguro privado de salud a partir del cuarto mes del contrato.
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    The review screen in CV Rocket: how each CV was read, round by round.
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