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Design and maintain high-performance data architectures, integrating new sources and optimizing pipelines using Python, SQL, Hadoop, Spark, AWS, and Google Cloud.
Build and maintain scalable data pipelines using Scala and Spark to process complex datasets for a railway-focused company.
Senior Data Engineer builds and maintains data lakes and ETL pipelines in Python/R to support analytics teams and Data Scientists.
Designs and optimizes data pipelines and ETL workflows using Talend and SQL to ensure reliable data flows for an industrial-property company.
Designs and builds ETL pipelines, SQL queries, and dashboards to deliver data solutions for mission-driven teams in the social economy.
Builds and maintains the core data platform powering a growing fintech, using Python and SQL to ensure reliable, scalable data pipelines.
Build and maintain data pipelines on AWS and Snowflake, ingest new sources, transform and model data, and ensure reliable data delivery for analytics.
8-week internship building automated data pipelines in a fast-moving French startup, collaborating with CEO/CTO using Python, SQL, and REST APIs.
Build and industrialize data pipelines for aerospace and defense programs, designing robust data platforms for critical systems.
Senior Data Engineer building Datamarts and ensuring data quality for an insurance-focused client using SQL, Hadoop, and Agile methods.
Design and maintain real-time data pipelines for AI systems in defense, using Python, SQL, and PostgreSQL on GCP while ensuring compliance with security constraints.
Senior Data Engineer builds scalable Python pipelines and data models in the cloud to turn business needs into actionable insights.
Senior Data Engineer builds and scales Databricks/AWS pipelines to industrialize analytics and ML prototypes into robust, governed solutions for an energy-sector platform.
Build and maintain data pipelines, analyze business needs, and create dashboards using Dataiku DSS and Python for a data-consulting agency.
Design and optimize large-scale BigQuery data pipelines using dbt and GCP for a modern data team driving strategic transformation projects.
Build and maintain cloud-based data pipelines for financial clients, using Spark, Kafka, and Azure to ingest, transform, and expose data securely.
Design and maintain data processing systems to deliver reliable, compliant data for internal and partner use, with a strong focus on data quality and root-cause analysis.
Designs and maintains AI-first data pipelines on GCP using Python, dbt, and Trino to power Vente-Privee’s e-commerce platform.
Designs and builds data pipelines and integrations, then deploys them to production using cloud and AI tools.
Builds real-time Azure data pipelines and cloud analytics to optimize commercial tools for a logistics-focused client.
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