About the Role
Job Description
Data Engineer
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Requirements
Advanced English skills (B2+).
Experience in ETL and Azure tools: A minimum of 2-5 years of experience in developing ETL processes using Azure Data Factory, Azure Databricks, and other Azure cloud tools.
Knowledge of Apache Spark and Databricks: Experience using Apache Spark for distributed data processing and knowledge of Databricks for data integration and transformation.
Proficiency in Python and SQL: Advanced skills in Python for automating processes and manipulating data, along with a strong understanding of SQL for quer...
Data Engineer
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Requirements
Advanced English skills (B2+).
Experience in ETL and Azure tools: A minimum of 2-5 years of experience in developing ETL processes using Azure Data Factory, Azure Databricks, and other Azure cloud tools.
Knowledge of Apache Spark and Databricks: Experience using Apache Spark for distributed data processing and knowledge of Databricks for data integration and transformation.
Proficiency in Python and SQL: Advanced skills in Python for automating processes and manipulating data, along with a strong understanding of SQL for quer...
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