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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.
Administer and evolve Cloudera CDP-based data platforms, handling ingestion, storage, and processing while migrating to OpenShift/Kubernetes and ensuring performance, security, and governance.
Design and build scalable data platforms and pipelines to accelerate digital transformation using Python, Databricks, MLflow, and cloud platforms.
Data Engineer builds and maintains Snowflake/Airflow pipelines, structures data zones, and applies CI/CD standards for a government data/IA squad in Bordeaux.
Build ETL/ELT pipelines and data-quality processes to consolidate identity data from HR, IAM, and ITSM systems into a unified Identity Graph.
Builds and maintains scalable, eco-friendly data pipelines using Python/Scala and Spark for sustainable data projects with startups and enterprises.
Design and scale knowledge-graph infrastructure for simulation and analytics in Python, C++, or Rust, supporting mission-critical aerospace and defense systems.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Designs and maintains scalable data pipelines using Microsoft BI tools (MSBI, SSIS) and SQL Server, and builds solutions on Microsoft Fabric for analytics platforms.
Maintain and modernize critical naval data systems, processing real-time data and building operational dashboards for ships and naval bases.
Designs and builds scalable data pipelines using dbt and Snowflake to consolidate data quality and enable business analytics.
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