Design and develop data pipelines on Databricks using PySpark and SQL
Optimize the performance of data flows and ensure their reliability
Participate in the implementation and industrialization of data processing solutions
Contribute to continuous improvement of data architectures and best practices
Ensure documentation and tracking of developments

🎯 Requirements

Engineering school graduate or Master (Bac+5) in Computer Science, Big Data or equivalent
Minimum 3/4 years experience in Data Engineering and/or in Data & Analytics sector
Proficiency in Databricks and PySpark
Strong SQL and data modeling skills
Experience with cloud solutions (Azure, AWS or GCP)
Knowledge of Data Lake and Data Warehouse architectures

🎁 Benefits

Working within a leading engineering and IT services company
Part of a Group IT department
Engaged company culture
Permanent contract

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