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Build and advise on modern data platforms on Google Cloud Platform, designing scalable architectures with BigQuery, Dataflow, and Dataproc while mentoring junior engineers.
Builds AI/ML and cloud data pipelines for clients, using Python and SQL to create scalable, data-driven solutions in a consultancy setting.
Senior Data Engineer at Talan builds and optimizes Databricks/Spark pipelines for large-scale data integration, coaching teams and advising clients on cloud and real-time streaming tech.
Analyste des risques financiers, réglementaires et ESG qui automatise des outils avec Excel avancé et Google Cloud pour une société de gestion d'actifs axée sur la finance durable.
Build and maintain Azure-based data pipelines using Databricks, Synapse and ADF, then deliver analytics and dashboards with Python, SQL and Power BI.
Senior Data Engineer builds and optimizes data pipelines for ML-driven pricing and analytics using Python and SQL at HP’s Meudon office.
Build and maintain data pipelines for a media company using Python and PySpark, with autonomy and mentorship.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Designs and builds data pipelines and Big Data solutions for aerospace projects using Palantir Foundry and related technologies.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Data Engineer builds and optimizes GCP pipelines in Python and Airflow to structure CRM data, ensuring fast, reliable delivery of analytics-ready datasets.
Builds and maintains data pipelines, creates BI dashboards, and automates data workflows using SQL, Python, and Power BI for finance and HR analytics.
Design and maintain industrial data pipelines, optimize databases, and enable AI/BI insights for manufacturing teams.
Build and maintain robust data pipelines on Google Cloud Platform using BigQuery, Dataflow, and DBT, orchestrated via Cloud Composer.
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing end-to-end ETL/ELT pipelines and analytics workflows.
Build and maintain cloud-based data pipelines and warehouses (BigQuery, Vertica) to power real-time analytics and ML for a large-scale internet search platform using Spark, Kafka, and AWS.
Data Engineer builds and maintains a hybrid data lake (on-premise + Azure) using Java and Spark to ingest, process, and expose banking data for analytics and APIs.
Build and maintain high-performance GCP data pipelines using BigQuery, Dataflow, and Terraform, and guide clients through cloud data transformations.
Data Engineer builds ingestion pipelines and maintains data systems for a digital transformation in aerospace manufacturing.
Build and scale the data pipelines and AI systems powering Panora’s AI agents for insurance brokers, focusing on reliability, traceability, and compliance.
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