Описание

Design, develop and maintain robust, scalable and industrialized data pipelines.
Develop, transform, manipulate and optimize data using Python and SQL.
Implement distributed processing of large data volumes with Apache Spark, PySpark and Databricks.
Contribute to streaming and real-time processing architectures around Apache Kafka and Apache NiFi.
Work on cloud data and Data Warehouse environments, notably AWS Glue and Redshift or GCP BigQuery.
Participate in the construction of modern data platforms, such as data warehouse, data lake or lakehouse, according to client needs.
Ensure the quality, performance, reliability and security of data throughout its lifecycle.

Hold a degree in computer science at Bac+5 level.
Have at least 4 years of experience in data platform design and maintenance projects.
Be comfortable communicating with business stakeholders, understanding their needs and proposing pragmatic, robust solutions adapted to client challenges.
Master Python and SQL for developing, transforming, manipulating and optimizing data.
Have good experience with Big Data environments, particularly Apache Spark, PySpark and Databricks for distributed data processing.
Be familiar with streaming or real-time processing architectures, with Apache Kafka and/or Apache NiFi.
Have experience working on cloud data or Data Warehouse environments, ideally GCP BigQuery and AWS Glue, Redshift.
Know the principles of ETL/ELT, data quality, performance optimization and processing industrialization.

Modern offices in Bordeaux near the city center.
Hybrid organization between teleworking and on-site presence depending on client projects.
A wide range of training (catalog of over 1,500 courses).
Health insurance covered at 80%.
Possibility of returning from maternity leave at 4/5ths without salary loss for 6 months.

First discussion with Quentin, recruiter, to present the position and understand your career plan.
Joint interview with the Data & IA team manager and a technical consultant.

Data Engineer Cloud Google Cloud Platform / Amazon Web Services