Data Engineer

About

If you enjoy being in the action, working on innovative projects, and feeling useful every day, don't hesitate! Within the Information Systems Department of Société Générale's French retail banking, you will evolve in a stimulating environment: creating, daring, and innovating are part of our DNA.

Join our teams to take on the challenges that drive us daily around green development practices, cloud, data, and cybersecurity. Immerse yourself in a supportive culture: our proximity to the business, mutual aid, and listening between management and the community of experts are our strengths.

Role

As a Data Engineer, you will be attached to an agile Feature Team dedicated to fighting payment fraud.

Responsibilities

• Develop Big Data applications in a team with data scientists, developers, cyber-criminality experts, and architects using innovative Machine Learning and Big Data technologies.
• Work on data processing applications based on Big Data technologies (Hadoop, Hive, Spark, Kafka) to store and distribute all transactions and indicators related to payment fraud.
• Participate in new developments required for the application (adding new features to existing jobs, implementing new jobs, non-regression tools, data quality, continuous delivery, or conducting performance tests).
• Design solutions to collect, clean, organize, and synthesize very large volumes of data (to feed databases, datalakes, and Big Data projects).
• Work in close collaboration with Data Scientists, Business Analysts, and business stakeholders.
• Participate in the analysis of data from different sources.

Progressively, you will gain autonomy on your projects, making this experience a true career accelerator. At the end of your studies, various opportunities may be available to you, in France and internationally.

Qualifications

• Prepare a Bac+3 to Bac+5 degree in an Engineering school or University with a specialization in IT and Data Engineering.
• Passionate about data, enjoy collaborative work, sharing expertise, and proposing improvements that give meaning to the activity.
• Master Big Data technologies (Hadoop, Hive, Scala, Spark).
• Possess development skills (Shell Unix, Java, Python, Git, Github).
• Fluent in English. Please accompany your CV and training plan.