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CA
Capgemini
11d ago

Data Engineer(m/w/x)

Genf, Lausanne
Full-timeWith Home Office
AI/ML

Description

You will bridge the gap between raw data and business insights by building reliable Azure pipelines and creating tailored analytical models to support the company's front office teams.

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Requirements

  • Master degree in Computer Science, Data Engineering, or related field
  • Significant experience with Pyspark and Azure
  • Proficiency in Python for data processing
  • Knowledge of SQL and NoSQL databases
  • Solid knowledge of data modeling
  • Distributed data processing skills
  • Strong analytical and problem-solving skills
  • Ability to work in collaborative environments
  • French and English fluency

Education

Master's degree

Tasks

  • Design and develop robust ETL/ELT pipelines
  • Maintain efficient pipelines using PySpark and Azure Data Factory
  • Collaborate with front office teams on data requirements
  • Propose suitable solutions for business data needs
  • Produce Python and SQL analyses and simple models
  • Ensure data quality through rigorous testing and validation
  • Implement best practices for data management and security
  • Automate data collection and transformation processes

Tools & Technologies

PysparkAzurePythonSQLNoSQL

Languages

FrenchBusiness Fluent

EnglishBusiness Fluent

Benefits

Learning & Development

  • Continuous learning and growth

Flexible Working

  • Hybrid working
  • Flexible work-life balance

Informal Culture

  • Diverse and inclusive teams

Bonuses & Incentives

  • Employee referral bonus

Competitive Pay

  • Company shares program

Healthcare & Fitness

  • Annual fitness subscription contribution
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