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Capgemini

Global consulting, technology services, outsourcing

Data Engineer

Data EngineeringUpdated on Nov 14
Full-timeLyon, FranceNo salary listedIn-person

About the Job

Requirements

  • Graduated from an engineering school and have at least three years of experience in data engineering.
  • Have confirmed practical experience with Databricks or Spark.
  • Be proficient in cloud environments such as Azure, AWS, or GCP, version control with Git, and DevOps practices including CI/CD and Docker.
  • Have good SQL and data modeling skills.

Responsibilities

  • Design and deploy high-performance data pipelines on Databricks.
  • Model and structure data to ensure its quality, availability, and optimal use.
  • Optimize ETL/ELT processes and Spark workflow performance.
  • Work closely with data scientists, product owners, and business teams to understand their needs and deliver relevant solutions.
  • Contribute to the continuous improvement of best practices in data engineering, cloud, and CI/CD.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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