11/15/2024 updated
100 % available
Lead Data Engineering
Cergy, France
Worldwide
Master Design and Management of Information Systems (2004)Artificial IntelligenceAirflowAmazon Web ServicesAutomationBusiness IntelligenceBig DataBigQueryCloud ComputingComputer ProgrammingContinuous IntegrationInformation EngineeringExtract Transform Load (ETL)Data ModelingData SystemDevOps
Data Engineering
Expertise in building and maintaining data pipelines, working with various cloud platforms (GCP, AWS), and implementing ETL processes.
Big Data Technologies
Proficiency in using tools like BigQuery, Redshift, Snowflake, and developing data models for large-scale data processing.
Programming and Scripting
Strong skills in Python, SQL, and various other programming languages for data manipulation, analysis, and automation.
Cloud Platforms
Experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS) for building scalable data solutions.
Business Intelligence
Proficiency in tools like Looker, Tableau, and MicroStrategy for creating dashboards and reports.
DevOps and CI/CD
Knowledge of Kubernetes, GitLab CICD, CircleCI, and Airflow for implementing efficient development and deployment processes.
Artificial Intelligence
Understanding of Deep Learning and Natural Language Processing techniques, with experience in tools like PyTorch and TensorFlow.
Expertise in building and maintaining data pipelines, working with various cloud platforms (GCP, AWS), and implementing ETL processes.
Big Data Technologies
Proficiency in using tools like BigQuery, Redshift, Snowflake, and developing data models for large-scale data processing.
Programming and Scripting
Strong skills in Python, SQL, and various other programming languages for data manipulation, analysis, and automation.
Cloud Platforms
Experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS) for building scalable data solutions.
Business Intelligence
Proficiency in tools like Looker, Tableau, and MicroStrategy for creating dashboards and reports.
DevOps and CI/CD
Knowledge of Kubernetes, GitLab CICD, CircleCI, and Airflow for implementing efficient development and deployment processes.
Artificial Intelligence
Understanding of Deep Learning and Natural Language Processing techniques, with experience in tools like PyTorch and TensorFlow.
Languages
EnglishFluentFrenchNative speakerSpanishGood
Project history
Built a Data Pipeline based on GCP, led a team of data professionals, developed Python scripts for data ingestion and quality checking, designed Airflow DAGs, and created Cloud Function Python scripts.
Led a team of 10 Data engineers, implemented Snowflake tasks, built Tableau dashboards, and designed Airflow DAGs deployed on MWAA.
Created and maintained data pipelines, implemented Airflow DAGs and Python Jobs for data acquisition and transformation, and developed ETL jobs with AWS Glue and PySpark.