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Data Engineer - Remote

Posted 7 weeks ago
Data Analysis
Full Time
Mexico

Overview

Capgemini is looking for a skilled Data Engineer to join our dynamic team.

In Short

  • Responsible for designing, implementing, and maintaining data pipelines and architectures.
  • Collaborate with data scientists and analysts for data analysis and reporting.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Drive data initiatives and optimize data workflows.
  • Consult independently and work iteratively on complex data projects.
  • Lead the design, development, and implementation of data products.
  • Produce complex data building blocks, models, and flows.
  • Manage highly complex projects and handle multiple cross-functional projects.
  • Act as a conduit between business and IT teams.
  • Design and maintain scalable data pipelines using cloud services.

Requirements

  • Experience in data engineering and cloud services.
  • Strong understanding of data architecture and data modeling.
  • Ability to work with complex data projects.
  • Experience with AWS services such as Glue, Lambda, and Airflow.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills for collaboration.
  • Familiarity with data quality standards and best practices.

Benefits

  • Opportunities to work on diverse projects.
  • Access to cutting-edge technologies in data engineering.
  • Work with a leading global consulting firm.
Capgemini logo

Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. With a diverse organization of over 340,000 team members across more than 50 countries, Capgemini is committed to unleashing human energy through technology for an inclusive and sustainable future. The company has a strong 55-year heritage and deep industry expertise, trusted by clients to address a wide range of business needs from strategy and design to operations. In 2023, Capgemini generated €22.5 billion in revenues, focusing on innovative solutions in cloud, data, AI, connectivity, software, digital engineering, and platforms.

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