Data Engineer Sr

Capgemini · Spanish: C1 · IT Consulting & Digital Transformation · Systems Integrators · Python · SQL · QlikSense · Talend · 4 days ago
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Salary
≈ $34k – $88k per year (Estimated)
Location
In office (Buenos Aires)
Seniority
Senior · 4+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 28, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Capgemini

Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.
capgemini.com · HQ: Paris, France · Management Consulting · Engineering Services · Systems Integrators · IT Consulting & Digital Transformation · 5000+ employees · Est. 1967
Tech stack of Capgemini
Backed by Bordeaux Technowest, Gilde Equity Management

Job Description

En Capgemini Argentina nos encontramos en la búsqueda de un/a Data Engineer Ssr/Sr para sumarse al proyecto de un importante cliente, participando en el rediseño y migración de pipelines de datos, trabajando con grandes volúmenes de información y arquitecturas Lakehouse.

Responsabilidades

  • Desarrollo y mantenimiento de pipelines de datos en Databricks
  • Participación en iniciativas de migración y modernización de plataformas de datos
  • Procesamiento y optimización de grandes volúmenes de información en entornos Lakehouse

Requisitos

  • 4+ años de experiencia como Data Engineer.
  • Experiencia sólida en Databricks (excluyente), Apache Spark (PySpark) y buen dominio de SQL

Deseables:

  • Conocimientos prácticos de Cloudera CDH, especialmente HDFS
  • Experiencia en migraciones de plataformas de datos
  • Uso de Talend para orquestación de procesos de datos
  • Experiencia Redshift y Qlik (QlikView / Qlik Sense).

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