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Open nowPosted 4 days ago

Data Engineer

skydropx42 open roles

Where
Colombia
Work mode
Remote
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Your applicationOpen nowData Engineerskydropx · Colombia

  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 skydropx'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.

7.8% of postings close within 7 days. Measured by our own scanner across the market. skydropx postings stay open a median of 4 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.0%30 days
This job: posted 4 days ago

skydropx median: 4 days open

The posting

Estamos innovando la logística y esto lo hemos logrado gracias a un equipo de personas visionarias, con ganas de crecer y cambiar el mundo.

En Skydropx encontrarás un espacio para desarrollar tu carrera dentro de un ambiente laboral dinámico, ambicioso y multicultural.

RESPONSABILIDADES:

- Recolectar datos de diversas fuentes, incluyendo bases de datos, archivos CSV y APIs, utilizando herramientas ETL para realizar limpieza y preprocesamiento.

- Data transform: Quitar duplicados, normalizar formatos (fechas, teléfonos, mayúsculas), validar, llenar o descartar nulos, mapear campos y enriquecer los datos para analisis eficiente.

- Diseñar y construir pipelines de datos eficientes utilizando herramientas como Matillion, SQLMesh garantizando la automatización en la recolección, transformación y carga (ETL) de datos.

- Integrar y consumir datos de APIs externas para enriquecer conjuntos de datos y mejorar la calidad de la información.

- Contribuir al diseño de arquitecturas eficientes para el manejo de grandes volúmenes de datos, utilizando tecnologías como BigQuery, Python, SQL.

REQUISITOS:

- Ingeniería, Actuaría, Matemáticas Aplicadas, Ingeniería Industrial o afín.

- Programación: Experiencia sólida en programación, con especial énfasis en Python. Desarrollo de código eficiente y resolución de problemas complejos. Conocimiento profundo de librerías clave como NumPy, Pandas, Polars y uso avanzado de SQL.

- Datos: Experiencia en la manipulación de datos a gran escala y optimización de consultas tanto en base de datos SQL como en BigQuery.

- Herramientas de ETL (Matillion, SQLMesh): Experiencia en el uso de herramientas como Matillion, SQLMEsh para la construcción y gestión de flujos ETL.

- Experiencia en Bases de Datos: Experiencia demostrable en el manejo de bases de datos, incluyendo la optimización de consultas SQL.

- Conocimiento sobre bases de datos relacionales y no relacionales.

- Conocimiento sobre Datawarehouse, datalake, datavault. BigQuery.

- Experiencia en observabilidad.

- Airflow, git.

- Capacidad para comunicarse con equipos interdisciplinarios.

- Capacidad para priorizar tareas según su impacto y urgencia en entornos dinámicos.

- Criterio para distinguir lo urgente de lo importante y actuar en consecuencia.

- Habilidad para gestionar múltiples prioridades y cumplir plazos ajustados.

OFRECEMOS:

- Misión a nivel regional: lograr que los negocios de LATAM se despreocupen de su logística.

- Salario: Competitivo y negociable según experiencia, habilidades y resultados del proceso de contratación.

- Esquema: 100% remoto.

  • Horario: Lunes a Viernes 8:00 a 18:00 CST (México).
  • Con flexibilidad de horario cuando haya nuevos releases.

- Crecimiento y desarrollo profesional.

¡Te invitamos a aceptar el reto! Para aplicar en la vacante, postúlate por este medio y estaremos encantados de lograr nuestros objetivos junto a ti.

Si tu perfil hace match con los requerimientos de la vacante, nuestro equipo de reclutamiento estará en contacto contigo.

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against skydropx's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on skydropx's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    skydropx's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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