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Develop and maintain PySpark pipelines and data ingestion flows for a client's Data Lake using GCP and Hadoop in an Agile environment.
Builds and optimizes large-scale data pipelines using PySpark in a cloud (GCP) and Hadoop environment, ensuring efficient data processing and transformation for analytics and business intelligence.
Ensure reliability and operation of Google Cloud data platforms (BigQuery, Spanner, Dataproc) and manage 24/7 incidents.
Builds and maintains Python-based ETL pipelines to process and standardize large-scale healthcare data, collaborating with scientific and infrastructure teams to ensure data reliability and documentation.
Build and industrialize data pipelines and infrastructure for public sector and energy clients using Apache Spark, Databricks, Snowflake, and Cloud tools.
Builds and optimizes data pipelines (Kafka, SQL) to support aerospace engineering teams, enabling real-time regulatory data access and collaboration with IT architects. Core tools: DBT, Airflow, Python.
Design and build robust data pipelines on Databricks using PySpark/Spark SQL, optimize data flows, ensure code/data quality, and contribute to agile processes. Core technologies include Databricks, PySpark, Python, SQL, and cloud platforms (AWS/Azure/GCP).
Work on-site at client premises to design and implement data solutions on the Teradata platform, focusing on SQL pipelines, ETL, and performance tuning.
Support analysis teams by structuring data, performing statistical analysis, developing tools, designing architectures, and leading ETL on large datasets.
Data Engineer developing and maintaining Python ETL pipelines to structure, clean, and standardize heterogeneous healthcare data into OSIRIS format, supporting AI and Big Data research projects at a cancer research center.
Build a data platform focused on unstructured patient data, modeling, and ingestion pipelines. Ensure data quality, ISO 27001 compliance, and deliver reliable metrics for healthcare research.
Data Engineer in France designing and automating data transformations for data standardization, collaborating with AI, software engineering, and audit teams using Trino, DBT, and Prefect.
Lead Data Engineer to build and evolve the data platform supporting BI and AI usage at Paprec. You will define architecture standards, implement robust pipelines, and technically lead the data engineering team.
Lead Data Engineer responsible for designing scalable and robust data solutions for clients (e.g., Fortune 500) on projects like cloud migrations and data mesh, working with technical and business teams and mentoring junior engineers.
Designs and deploys modern data platforms, models data warehouses/lakehouses, builds ELT pipelines, and creates data products using SQL, Python, Snowflake, GCP, dbt, Airflow, and Docker.
Data Engineer in Strasbourg working on data and decisional projects, handling data collection, transformation, SQL processing, and using tools like Stambia/Talend. Core focus on data quality, performance, and business needs.
Lead data engineering teams to design and optimize scalable data pipelines using Spark, cloud platforms, and modern data tools.
Senior Data Engineer builds and maintains Azure-based data pipelines and analytics infrastructure to make company data ready for analysis.
Data Engineer - Manager/Specialist role at Publicis Groupe in Paris, leading a team to design and implement data pipelines, ETL/ELT processes, and data storage solutions using big data technologies like Spark, Hadoop, Kafka, and cloud platforms including Azure, AWS, and GCP.
A Data Engineer at FONCTIONS SUPPORTS designs data architectures, develops ETL pipelines, ensures data quality, and collaborates with business teams to support the company's data platform transformation. Works with SQL, programming languages like Python/Java/Scala, and databases.
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