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Open nowPosted 6 days ago

Becario de ingeniería de datos

Capital Becarios37 open roles

Where
Ciudad de México, Distrito Federal, Mexico
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Your applicationOpen nowBecario de ingeniería de datosCapital Becarios · Ciudad de México, Distrito Federal, Mexico

  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 Capital Becarios'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.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Capital Becarios postings stay open a median of 8 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted 6 days ago

Capital Becarios median: 8 days open

The posting

Becario de ingeniería de datos Condiciones generales: Ubicación: Paseo de la reforma, CDMX. Horario: 8am a 2pm L.V Apoyo económico: 10,500 mensuales Duración estimada: 1 año Objetivo del puesto Brindar apoyo al equipo de tecnología en el desarrollo, mantenimiento y validación de procesos de datos mediante Databricks, participando en actividades de extracción, transformación, análisis y procesamiento de información. La posición permitirá desarrollar conocimientos prácticos en ingeniería de datos, programación y tecnologías de procesamiento de grandes volúmenes de información, trabajando de la mano con especialistas del área y bajo su supervisión. Principales actividades Desarrollo de procesos en Databricks: Apoyar en la creación y mantenimiento de notebooks, jobs y pipelines para el procesamiento de información. Consultas y manipulación de datos: Elaborar consultas SQL para extraer, consultar y analizar información de diferentes fuentes de datos. Procesamiento de información: Colaborar en la construcción y ejecución de procesos ETL/ELT (extracción, transformación y carga de datos). Validación y calidad de datos: Realizar pruebas básicas para verificar la integridad, consistencia y calidad de la información procesada. Documentación técnica: Registrar procesos, modificaciones y resultados de las actividades realizadas. Trabajo colaborativo: Participar en las actividades del equipo de Ingeniería de Datos, siguiendo estándares técnicos y buenas prácticas de desarrollo. Perfil requerido Carreras: Ingeniería en Sistemas Computacionales; ciencia de datos; inteligencia artificial, o afines Créditos vigentes al menos hasta diciembre 2027 (indispensable) Conocimientos técnicos deseables: SQL (básico-intermedio). Python (básico-intermedio). Fundamentos de bases de datos. Conocimientos básicos de programación y estructuras de datos. Interés en procesamiento y análisis de información. Deseable, no indispensable: Conocimiento o acercamiento a Databricks. Conceptos de procesos ETL/ELT. Manejo de Apache Spark o PySpark. Conocimiento de plataformas cloud. Idiomas: Inglés intermedio (60%).

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