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Builds and maintains ETL pipelines and databases to feed data-science models, using SQL and Big-Data tooling.
Build and optimize large-scale data pipelines on Databricks, from ingestion to delivery, using Spark, cloud, and DevOps practices to support analytics and AI teams.
Builds and maintains AWS-based data pipelines and data warehouses for clients, using SQL and Python to enable data-driven transformations.
Builds and maintains data pipelines and warehouses using dbt to turn raw data into business-ready insights while enforcing privacy and security standards.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Design and build scalable data architectures and pipelines using Spark, Python, and SQL for a large telecom company.
Senior Data Engineer to modernize a legacy data platform, build new pipelines, and improve system performance in an Agile, international team.
Project Manager in Nantes leading AI and automation projects, aligning technical capabilities with business strategy and coordinating teams.
Build and maintain data pipelines and AI workflows for France’s financial intelligence unit, ensuring secure, traceable data flows and collaborating with data scientists and domain experts.
Build and maintain robust Snowflake data pipelines and governance for clients, collaborating with analysts and scientists to ensure data quality and automation within Agile teams.
Designs and maintains scalable ETL/ELT pipelines and cloud data infrastructure to support analytics and ML workflows in a French HR-tech environment.
Design and deploy cloud data pipelines on GCP, focusing on ingestion, modeling, and orchestration for international clients.
Design and build GCP-based data pipelines using Snowflake and dbt, collaborating across international teams to deliver modern data architectures.
Build and maintain scalable ETL/ELT pipelines on GCP and BigQuery using dbt; collaborate with analytics and marketing teams to industrialize data processes.
Build and maintain production data pipelines and a data warehouse to support AI safety initiatives, modeling data for engineering, product, and research teams.
Senior Data Engineer builds and maintains data pipelines, models, and dashboards in GCP and Looker to power business decisions and reporting for a fintech payments company.
Build and maintain scalable data pipelines and storage systems using Snowflake, S3, GCS, and Azure Blob to ensure reliable, secure access to business data.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Design and build modern Snowflake data architectures and robust dbt pipelines for financial projects, optimizing SQL queries and managing platform costs.
Design and deploy reliable data pipelines using Azure and Snowflake, focusing on ingestion, transformation, and CI/CD automation.
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