03/13/2026 updated
SM
100 % available
Data Engineer & Cloud Consultant
Ivry sur Seine, France
Only remote
Master's in Computer Science for Data ScienceArtificial IntelligenceData AnalysisAutomationTest AutomationBusiness IntelligenceBig DataGoogle BigQueryCloud ComputingCluster AnalysisInformation EngineeringExtract Transform Load (ETL)Data VisualizationDevOpsElasticsearchPython (Programming Language)
Cloud Data Engineering
Expertise in designing and deploying ETL pipelines on Azure Data Factory and Databricks with advanced knowledge of cloud-based data processing architectures
Big Data Technologies
Proficiency in Apache Spark, Scala, and Python for large-scale data processing and transformation solutions
Business Intelligence & Analytics
Advanced skills in Power BI for creating interactive dashboards and data visualization solutions for business reporting
Machine Learning & AI
Experience in implementing clustering, topic modeling, and predictive models using Python and various ML frameworks
Database Management
Knowledge of PostgreSQL, Microsoft SQL Server, and BigQuery for data storage and manipulation
DevOps & Automation
Skills in CI/CD pipelines using Jenkins, version control with Git, and automated testing procedures
Container Orchestration
Experience with Kubernetes and Docker for containerized application deployment and management
Search & Analytics Platforms
Proficiency in Elasticsearch, Logstash, and Kibana (ELK stack) for log analysis and search capabilities
Expertise in designing and deploying ETL pipelines on Azure Data Factory and Databricks with advanced knowledge of cloud-based data processing architectures
Big Data Technologies
Proficiency in Apache Spark, Scala, and Python for large-scale data processing and transformation solutions
Business Intelligence & Analytics
Advanced skills in Power BI for creating interactive dashboards and data visualization solutions for business reporting
Machine Learning & AI
Experience in implementing clustering, topic modeling, and predictive models using Python and various ML frameworks
Database Management
Knowledge of PostgreSQL, Microsoft SQL Server, and BigQuery for data storage and manipulation
DevOps & Automation
Skills in CI/CD pipelines using Jenkins, version control with Git, and automated testing procedures
Container Orchestration
Experience with Kubernetes and Docker for containerized application deployment and management
Search & Analytics Platforms
Proficiency in Elasticsearch, Logstash, and Kibana (ELK stack) for log analysis and search capabilities
Project history
Development of QS Expert application within Big Data Transilien team, designing ETL pipelines, data processing with Spark, and creating interactive dashboards for equipment monitoring
Certified trainer for PLB, Orsys, and IB conducting over 30 training sessions in Power BI, Data Engineering, and designing training materials
Analysis of retirement events using ELK stack, setting up Elasticsearch cluster, data manipulation with Logstash pipelines, and developing dashboards on Kibana