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Open nowPosted 12 hours ago

Ingeniero de Datos

Gupy (Portal de Vagas)83,101 open roles

Where
San Salvador
Work mode
Hybrid
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Your applicationOpen nowIngeniero de DatosGupy (Portal de Vagas) · San Salvador

  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 Gupy (Portal de Vagas)'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.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Gupy (Portal de Vagas) postings stay open a median of 3 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 12 hours ago

Gupy (Portal de Vagas) median: 3 days open

The posting

¡Sé parte de Stefanini!En Stefanini somos más de 30.000 genios, conectados desde 41 países, haciendo lo que les apasiona y co-creando un futuro mejor.¡Seguro no te quieres quedar fuera!Responsabilidades y atribucionesDiseñar, desarrollar y mantener procesos ETL para la extracción, transformación y carga de datos.Construir y optimizar pipelines de datos para integrar información desde múltiples fuentes.Diseñar y mantener modelos de datos y arquitecturas de Data Warehouse.Garantizar la calidad, consistencia e integridad de los datos.Implementar procesos automatizados para monitoreo, validación y carga de información.Optimizar el rendimiento de consultas SQL y procesos de integración.Documentar procesos, estructuras de datos y procedimientos técnicos.Colaborar con analistas, científicos de datos y usuarios de negocio para entender requerimientos.Identificar oportunidades de mejora e implementar soluciones que incrementen la eficiencia operativa.Promover mejores prácticas de desarrollo, control de versiones y aseguramiento de calidad.Participar activamente en proyectos de transformación y modernización de plataformas de datos.Requisitos y calificacionesCompetencias técnicas3 años o mas de experiencia en roles de ingeniería de datos.Dominio avanzado de SQL / T-SQL. Conocimiento avanzado de Microsoft SQL Server Integration Services. Conocimiento avanzado en diseño y arquitectura de Data Warehouse.Experiencia en optimización de consultas y procesos ETL.Conocimiento en modelado de datos dimensional y relacional.Experiencia en documentación técnica y control de cambios.Manejo intermedio de Python para procesamiento y automatización de datos.Competencias Humanas:Colaboración y Trabajo en EquipoPensamiento Crítico y Resolución de ProblemasGestión del Tiempo y Organización Adaptabilidad y FlexibilidadOrientación a ResultadosLiderazgo

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  1. A CV for this posting

    Written against Gupy (Portal de Vagas)'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 Gupy (Portal de Vagas)'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

    Gupy (Portal de Vagas)'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

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    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

More applications. More interviews.

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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