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Data Engineer(m/w/x)
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
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
Languages
French – Business Fluent
English – Business 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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Data Engineer(m/w/x)
The AI Job Search Engine
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
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
Languages
French – Business Fluent
English – Business 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
About the Company
Capgemini
Industry
Consulting
Description
Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen, der bei der digitalen und nachhaltigen Transformation unterstützt.
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