Description

Data engineer, j'ai une bonne expertise dans le développement et la mise en place des projets BigData.

Je maîtrise parfaitement Spark/scala et je suis familier avec tout le nuage Hadoop.

J’ai fait beaucoup de traitement batch et je maîtrise aussi les bases du stream processing.

J’ai toujours travaillé sur des projets avec Une méthodologie scrum et où l’anglais était très utilisé voir même principal.

J'ai travaillé principalement dans le domaine bancaire et je suis ouvert à tous les domaines.

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris 20e Arrondissement (up to 50km)

Société Générale
Senior Data Engineer
BANKING AND INSURANCE
February 2022 - January 2024 (2 years)
Paris, France
Working as a Senior Data Engineer on a Risk application:
As part of the liquidity management system improvement, the main function of the application is the management of structural and resolution risk (limits, sensitivities, asset base amounts, etc.).
• Main data flow: Liquidity balance sheet aggregates
• Interaction with different data flows on Lake and from other applications via web services.

Technical Environment:
Cloudera Data platform: Hadoop, Spark, Apache Hive
Spark SQL Hive Hadoop Git
BPCE Solutions informatiques
Big Data Engineer
BANKING AND INSURANCE
August 2020 - February 2022 (1 year and 6 months)
Paris, France
Working as a Senior Engineer and Hadoop expert with a cross-functional team on risk and finance projects for the finance department.

Technologies: Hadoop, Spark ZIO
Spark Hadoop Hive Scala
Société Générale
Consultant: Big Data Engineer / Technical Lead
BANKING AND INSURANCE
June 2017 - June 2020 (3 years)
Paris, France
• Implementation of a Group-wide Dataviz offer to manage the Data Quality of Finance and Risk data discharged into a Data Lake. Highly visible executive dashboard.
• Complex environment, bringing together central functions and Group entities. Strong interactions with the entire Societe Generale IS.
• Part of the BCBS239 program and GDPR impact.
• Technologies: Hortonworks Data platform (Hadoop, Spark/scala, Apache Hive)