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Build and maintain scalable data pipelines and analytics infrastructure for a fast-growing French fintech, translating business needs into robust data models.
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using Spark, Kafka, and cloud platforms (Databricks, Snowflake, Azure) to enable real-time analytics and reporting for enterprise clients.
Data Engineer & Analyst builds and maintains data pipelines, cleans and transforms insurance data, and develops ML models using Python, SQL, and AI tools.
Builds and maintains ETL/ELT pipelines, models data in a warehouse, and creates Power BI dashboards to support business teams.
Design and build large-scale data architectures for clients using Spark, Scala, Hadoop, Hive, and Kafka, focusing on renewable energy and AI projects.
Builds and maintains data pipelines using Spark and Scala to ensure reliable, high-performance data infrastructure for analytics and reporting.
Design and build scalable data platforms, implement ETL/ELT pipelines, and collaborate with data scientists to make data actionable using SQL, Python, and AWS.
Build and maintain reliable data pipelines, integrating and transforming data while ensuring quality and availability for clients.
Senior Data Engineer builds and optimizes ETL/ELT pipelines to transform raw data into actionable insights for clients in a hybrid work setup.
Senior Cloud Data Engineer designs and builds cloud-based data solutions for global projects, focusing on scalable analytics and infrastructure.
Designs, optimizes, and secures Elasticsearch clusters for a large bank, integrating with Hadoop/Spotfire and writing complex queries to analyze financial data.
Lead Data Engineer designs and optimizes scalable big-data pipelines and architectures for clients, using Spark and Kubernetes.
Leads a small team of junior data engineers to build and maintain a Databricks-based data platform on Microsoft Azure, setting architecture and CI/CD pipelines.
Designs and builds modern data platforms using Snowflake and Airflow, transforming data pipelines in an agile team.
Builds automated data pipelines and time-series processing for deep-learning systems using Python, Linux, and C++.
Data Engineer builds and maintains data pipelines and BI dashboards for a national public-transport operator using Microsoft Power Platform.
Build and maintain robust data pipelines on Google Cloud Platform and Snowflake using Python, ensuring reliable data flows for analytics and reporting.
Consultant builds and implements data pipelines and integrates generative AI solutions for enterprise clients using Python and SQL.
Leads a data engineering team in Paris, designing scalable big-data architectures with Hadoop, Spark, Kafka, Kubernetes and Docker while mentoring engineers.
Designs and deploys modern cloud data platforms on GCP for enterprise clients, focusing on scalable architectures and high-quality deployments.
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